Table of Contents
Overview
Definition and Importance
Translational research is the process of applying scientific discoveries to improve human health, specifically by converting basic research results into practical benefits for patients and communities. It bridges the gap between laboratory findings and clinical applications, enhancing health outcomes through the translation of new knowledge, mechanisms, and techniques into approaches for the prevention, diagnosis, and treatment of diseases.[7.1] The structured approach of translational research, involving four stages (T1-T4), ensures that scientific discoveries are applicable in real-world scenarios by testing interventions across various settings and populations.[4.1] This approach addresses the slow integration of research findings into clinical practice, which can often take over a decade.[9.1] Furthermore, translational research significantly impacts public health by informing policy decisions and addressing the needs of underserved communities. By involving community members as research partners, it generates relevant evidence and develops tailored interventions to improve health outcomes.[13.1] This collaborative model enhances the translation of research into practice, aiming to reduce health disparities and improve population health.[12.1]Key Concepts and Terminology
Translational research serves as a crucial link between basic scientific discoveries and their application in public health, focusing on accelerating the conversion of scientific findings into practical health benefits. This approach addresses the slow integration of research findings into clinical practice, which often delays patient access to new treatments and therapies.[27.1] The process is marked by a series of definable stages that guide the transition from laboratory observations to tangible health outcomes.[18.1] Emphasizing the quality and efficiency of clinical and translational research, it relies on the effective and timely use of resources to minimize errors that could affect participant safety or the credibility of research results.[19.1] Regulatory frameworks significantly influence the efficiency of translational research. Excessive regulatory oversight can impede the progress of clinical, epidemiological, and health systems research.[17.1] Addressing regulatory barriers is essential for advancing the development of new products and treatment paradigms initiated in academic settings.[20.1] Programs like the Regulatory Knowledge and Support Program have been assessed for their role in improving the success rates of Institutional Review Board (IRB) applications, especially those previously considered Not Ready for Review.[21.1] Beyond regulatory considerations, translational research highlights the importance of community engagement and collaboration among stakeholders to tackle diverse health challenges. Community-engaged research strategies are guided by principles that encourage the active involvement of various populations in the research process.[31.1] For instance, the National Institutes of Health’s Trial Innovation Network develops tools to enhance trial efficiency and improve the recruitment of diverse populations, addressing barriers to participation in clinical trials.[32.1]In this section:
History
Evolution of Translational Research
Translational research has a rich history, originating from ancient practices where scientific discoveries were applied practically, a tradition evident since the time of Herodotus in the West and the Vedic era in India.[40.1] This historical context underscores that translational research is not a modern development but a longstanding effort to connect knowledge with real-world applications. In modern terms, translational research involves converting basic research findings into tangible health benefits, particularly in biology and medical science.[39.1] Despite its deep-rooted history, the journey from discovery to clinical application is often lengthy and inefficient. For example, a study of 101 promising scientific claims from 1979 to 1983 revealed that only five resulted in licensed clinical interventions by 2003, highlighting the protracted nature of this process, which can span 17 to 24 years.[41.1] Recent policy changes aim to tackle these challenges by focusing on consumer-driven research and public health interventions, though these may not always effectively promote translational research.[50.1] Funding bodies like the National Institutes of Health (NIH) significantly influence translational research through their substantial investments, exceeding $45 billion annually.[53.1] However, there are concerns that NIH funding priorities might not align with current disease burdens, potentially impeding translational progress.[53.1] To improve translational research, engaging diverse stakeholders, including patients, clinicians, and policymakers, is increasingly recognized as crucial.[54.1] Initiatives such as patient registries have enhanced patient involvement and research outcomes.[55.1] Additionally, tools that facilitate patient and public involvement empower participants to contribute meaningfully, fostering a collaborative research environment that values all contributions.[56.1]Milestones in Translational Medicine
Translational medicine has undergone significant milestones that have shaped its development and practice. One pivotal moment was the establishment of the National Center for Advancing Translational Sciences (NCATS) in 2012 by the National Institutes of Health (NIH). NCATS was created to accelerate the conversion of basic science research into testable clinical products, known as Type 1 translation, and to facilitate the transition from clinical research into practice, referred to as Type 2 translation.[49.1] This initiative reflects a broader recognition of the need to streamline the often lengthy process of translating scientific discoveries into practical medical applications. Another critical aspect of translational research is its historical context, which has been influenced by various scientific advancements and societal needs. For instance, the integration of innovative technologies, such as omics technology and big data analytics, has revolutionized personalized medicine, allowing for more tailored treatment approaches based on individual patient characteristics.[48.1] These technological advancements have played a crucial role in bridging the gap between basic science and clinical practice, ultimately improving patient care and treatment outcomes.[46.1] Collaborative efforts and partnerships are crucial for addressing the challenges faced in clinical trials, particularly in oncology. These public-private partnerships, which involve academic institutions, pharmaceutical companies, and government agencies, are instrumental in pooling resources and expertise to advance cancer research.[42.1] Barriers such as the limited availability of clinical trial sites in rural and underserved communities, along with stringent inclusion/exclusion criteria, significantly hinder the enrollment of diverse and underrepresented populations.[44.1] In the evolving landscape of clinical research, these collaborations not only enhance trial efficiency but also reduce costs and improve patient outcomes, thereby accelerating the development of new therapies.[43.1] Furthermore, the COVID-19 pandemic has exacerbated existing challenges in clinical trial execution, highlighting the need for innovative approaches and partnerships to navigate these complexities effectively.[45.1] The evolution of translational medicine has been profoundly influenced by historical figures whose contributions have shaped contemporary practices. The millennium from AD 1000 to AD 2000 encompasses significant periods in medical history, including the Middle Ages, the Renaissance, the Age of Enlightenment, and the Industrial Revolution, all of which contributed to advancements in medical science.[71.1] While an infographic may only cover about 200 years of this extensive history, it underscores the lasting impact of ancient physicians, such as Hippocrates, who is often referred to as the "Father of Western Medicine".[72.1] Understanding the criteria for historical biographies in translational medicine reveals the importance of recognizing the scientific questions addressed, the advancements made, and the obstacles overcome by these pioneers.[70.1] This historical context provides valuable insights into the principles and practices of translational research as we understand them today.In this section:
Recent Advancements
Innovations in Methodologies
Innovations in methodologies within translational research are increasingly focused on integrating ethical and safety standards to enhance the accessibility of new treatments, particularly for underserved populations. Researchers emphasize the importance of adopting validated, standardized tools and frameworks that assess the potential harms, burdens, and benefits of health interventions. This approach ensures accountability in health policy research and implementation, thereby addressing health disparities by translating research findings into actionable health policies.[84.1] The "bench to bedside to curbside" framework exemplifies this evolution, highlighting the need for effective research translation across various specialties.[85.1] A comprehensive understanding of the decision-making environment, stakeholder engagement, and strategic communication is crucial for fostering meaningful changes in population health. These elements ensure that research aligns with user needs and supports the development of impactful programs. Collaborative efforts involving healthcare organizations, policymakers, and community stakeholders are essential for rapidly improving population health and reducing disparities.[86.1] Such collaborations help identify and sustain programs that effectively address these challenges.[87.1]Integration of Technology in Research
Recent advancements in translational research have been significantly influenced by the integration of various technologies, particularly artificial intelligence (AI), multiomics, and neuroimaging. These technologies are driving dramatic advances in the field, enhancing the ability to translate basic scientific discoveries into clinical applications that directly benefit patients.[74.1] The translational research paradigm emphasizes the process of applying knowledge gained from basic science to improve patient care, which is increasingly facilitated by these technological innovations.[76.1] AI and machine learning are transforming translational research by enabling the analysis of vast datasets, which can accelerate drug discovery, improve imaging techniques, and enhance genomic medicine.[81.1] The big data revolution, coupled with advancements in wearable medical devices and mobile health applications, allows researchers to apply AI algorithms to large volumes of health data, thereby improving the efficiency and effectiveness of clinical and translational research.[80.1] For instance, AI technologies have become crucial in drug development and clinical practice, making healthcare more sustainable and enhancing decision-making processes across various biomedical fields.[88.1] The integration of multiomics data, which encompasses genomics, proteomics, and imaging, has significantly contributed to the identification of biomarkers for early detection and potential therapeutic targets in complex diseases, particularly Alzheimer's disease. The Alzheimer's Disease Neuroimaging Initiative (ADNI) project exemplifies this integration by utilizing multi-omics data to enhance our understanding of the molecular basis of Alzheimer's disease.[91.1] This approach has been pivotal in advancing research efforts aimed at improving personalized medicine within the context of translational research.[91.1] The integration of big data analytics into healthcare has the potential to significantly enhance the effectiveness of translational medicine. According to research by Wang, Kung, and Byrd, the benefits of big data analytics can be categorized into five areas: IT infrastructure benefits, operational benefits, organizational benefits, managerial benefits, and strategic benefits.[82.1] Among these, operational benefits are particularly noteworthy, as they include improvements in the quality and accuracy of clinical decisions, the ability to process large volumes of health records rapidly, and immediate access to clinical data for analysis.[82.1] Furthermore, successful translational medicine in the era of big data and machine learning could effectively bridge the gap from bench to bedside and population health, thereby optimizing healthcare outcomes by delivering better patient care, improving population health, and reducing costs.[83.1] This comprehensive approach underscores the transformative potential of big data analytics in enhancing the speed and effectiveness of translating research findings into clinical practice.In this section:
Challenges In Translational Research
Barriers to Effective Translation
Translational research encounters several barriers that impede the effective application of scientific discoveries in clinical settings. A primary challenge is the limited access to relevant research and timely outputs, which policymakers often face when trying to apply health research findings.[116.1] This issue is compounded by a communication gap between researchers and practitioners, as research findings are often disseminated in formats that fail to engage decision makers.[124.1] Academic publications and conferences may not adequately convey the relevance of research to local contexts, resulting in limited practical applicability.[124.1] The complexity of translational research, which requires collaboration among clinics, research hospitals, and industries, further complicates the integration of scientific discoveries into clinical applications.[118.1] This complexity also affects the generation of research foci from clinical observations.[118.1] The iterative nature of translational research, aimed at bridging laboratory findings and clinical interventions, frequently encounters obstacles that hinder progress.[117.1] Another significant barrier is patient recruitment and retention in clinical trials. Factors such as complex study protocols, lack of awareness about clinical trials, and sociocultural issues adversely affect participant recruitment.[122.1] Enhancing recruitment through strategies that incorporate patient feedback and expectations is crucial for improving enrollment rates and ensuring timely trial completion.[123.1] Additionally, understanding principal investigators' perceptions of recruitment factors can aid in developing more effective recruitment strategies.[120.1] To overcome these barriers, it is essential for healthcare organizations, policymakers, and researchers to adopt implementation science and community-engaged research methods. These approaches can help identify and sustain impactful programs and policies that enhance population health and reduce disparities.[125.1] Involving both researchers and policymakers in the planning and execution of health research can improve communication and collaboration, ultimately bridging the gap between research and practical health policies.[126.1]Ethical Considerations
Patient and public involvement (PPI) in translational research is increasingly recognized as essential for aligning research outcomes with the actual needs and preferences of patients. PPI enhances the quality of health research by ensuring its relevance, although effective examples in translational and laboratory-based research remain limited.[133.1] The involvement of patients can take various forms, allowing their experiences and values to be considered in scientific research.[152.1] Early public engagement in the research development process is crucial for maintaining relevance and integrating PPI at every stage.[154.1] This engagement not only benefits research outcomes but is also becoming a requirement in grant applications, which often encourage public member co-applicants.[154.1] Patient advocacy groups significantly contribute to translating research discoveries into practical treatments. They help formulate research questions and identify patient concerns early in the research planning process.[156.1] This collaborative approach can facilitate clinical trial enrollment and promote equity and inclusion of a diverse patient spectrum.[157.1]Strategies For Improvement
Interdisciplinary Collaboration
Interdisciplinary collaboration is crucial for advancing translational research by forming multidisciplinary working groups that address complex healthcare challenges through diverse expertise and perspectives. The Science of Team Science (SciTS) provides strategies to enhance cross-center collaboration and sustain initiatives like the Cancer Center Cessation Initiative Consortium.[163.1] By applying these principles, researchers can effectively lead Coordinating Centers, facilitating the generation of new knowledge in translational research.[162.1] Successful interdisciplinary collaboration requires engaging stakeholders from sectors such as public health, healthcare, business, and community development. This engagement ensures research relevance and prioritizes user needs.[197.1] Understanding the decision-making environment allows researchers to align their approaches with stakeholder priorities and challenges.[160.1] Challenges in optimizing collaboration include data integration, quality, and establishing sharing models that address privacy and intellectual property concerns.[165.1] Additionally, a lack of education in evidence-based practice among healthcare professionals can impede research implementation.[164.1] Overcoming these obstacles requires improved communication and collaboration among all research translation participants.[166.1]Funding and Resource Allocation
Funding and resource allocation are essential for enhancing the effectiveness of translational research. Health policy research and implementation should be guided by the principles of translational biomedical research, which highlight the roles of researchers, clinicians, and regulators. This process must be transparent, refined over time, and documented using standardized methods to ensure the efficient translation of research into practice.[175.1] Healthcare organizations, payers, policymakers, communities, and research funders are encouraged to adopt implementation science and community-engaged research methods. These approaches are crucial for identifying, evaluating, and sustaining impactful programs and policies aimed at improving population health and reducing disparities.[177.1] Rigorous evaluations that inform evidence-based healthcare policy benefit from these methodologies by leveraging community input and the lived experiences of individuals to prioritize evidence generation and implementation methods that promote health equity.[177.1] The World Health Organization (WHO) has initiated a comprehensive research priority-setting exercise in Knowledge Translation to address the lack of consensus on effective mechanisms for promoting evidence use.[176.1] This initiative emphasizes aligning funding and resource allocation with translational research priorities to enhance its impact on health policy. Additionally, various attributes associated with the uptake of policy literature can influence funding and resource allocation decisions. Factors such as publication year, journal impact factor, clinical relevance, altmetric attention, and academic citation all play a role in determining which research is referenced in policy documents.[178.1] Understanding these dynamics enables stakeholders to allocate resources effectively to support translational research that is more likely to influence health policy.In this section:
Applications Of Translational Research
Case Studies in Medicine
Case studies in translational research have highlighted the effectiveness of various methodologies and frameworks in bridging the gap between research findings and clinical practice. The integrated Promoting Action on Research Implementation in Health Services (i-PARIHS) framework is a notable model that facilitates the successful implementation of new knowledge into clinical practice.[225.1] Despite these advancements, significant barriers persist in translating research evidence into public health practice. A major challenge is the disconnect between researchers' communication methods—often through peer-reviewed publications and academic conferences—and the preferred formats of practitioners and decision-makers, such as webinars, workshops, and social media.[234.1] This misalignment can result in research findings being presented in ways that do not adequately demonstrate their relevance to local circumstances, making them less accessible to nonacademic audiences.[234.1] Nevertheless, there have been successful initiatives to enhance the integration of translational research into healthcare systems. Developed countries have made substantial investments in biomedical research to translate theoretical knowledge into meaningful clinical practice changes, advancing the evidence-based medicine movement.[235.1] The Community-Campus Collaborative (C3) supports university-based research and facilitates collaborations with community organizations, improving the dissemination of research findings to community audiences.[236.1] Furthermore, case studies from institutions like Duke CTSI have demonstrated successful projects that illustrate the translational paths taken and the benefits yielded to the healthcare sector.[237.1] These examples emphasize the importance of tailored communication strategies and collaborative efforts in overcoming barriers to effective research translation in clinical settings.Impact on Public Health
Translational research plays a crucial role in enhancing public health by bridging the gap between scientific discoveries and practical applications that benefit patient populations. This process is essential for developing sustainable solutions to public health problems, as it aims to improve health outcomes and longevity across diverse populations.[201.1] By integrating basic scientific research with clinical practice, translational research facilitates the translation of evidence-based medicine into effective healthcare policies and practices.[201.1] One of the significant impacts of translational research is its ability to address pressing health issues through innovative approaches. Researchers are making strides in various fields, such as gene reprogramming for cancer treatment, immunotherapy for diabetes, and the development of universal vaccines.[202.1] These advancements are indicative of how translational scientists contribute to moving concepts from the laboratory to clinical settings, ultimately improving patient care and public health.[202.1] However, the successful implementation of translational research faces several challenges, including funding constraints and the need for effective collaboration among healthcare professionals.[204.1] Securing adequate financial resources is often a major obstacle, as translational research typically requires substantial investment to translate scientific findings into clinical applications.[200.1] Furthermore, effective communication and collaboration among diverse stakeholders are vital for overcoming these challenges and ensuring that research findings are effectively integrated into healthcare practices.[226.1] The involvement of patients and the public in the translational research process is increasingly recognized as a key factor in enhancing the relevance and applicability of research findings. Engaging patients helps identify issues that matter to them and society, leading to the development of treatments that are both acceptable and beneficial.[212.1] Additionally, patient involvement can improve health outcomes by fostering better adherence to treatment protocols and increasing patient responsibility in managing their health.[213.1]In this section:
Future Directions
Emerging Trends
Emerging trends in translational research are being significantly shaped by advancements in artificial intelligence (AI) and machine learning (ML), which are transforming biomedical research and clinical practice. The integration of these technologies is poised to enhance diagnostic accuracy, streamline workflows, and improve clinical decision-making and outcomes across various medical fields, including pathology and medicine.[246.1] The big data revolution, along with the rise of wearable medical devices and mobile health applications, has empowered researchers to apply AI and ML algorithms to extensive datasets, thereby accelerating translational research.[247.1] AI and ML are particularly influential in drug discovery, imaging, and genomic medicine. For example, deep learning models using recurrent neural networks (RNNs) have shown effectiveness in generating synthetic data for drug design applications, such as high-throughput screening and hit-to-lead optimization.[248.1] The ability to harness multi-dimensional biological and clinical data has revolutionized pharmaceutical research and development, with growing applications of AI and ML technologies.[249.1] Beyond technological advancements, translational research is also focusing on enhancing the efficiency and speed of scientific innovation through dissemination and implementation (D&I) research. This approach seeks to optimize the adoption and implementation of emerging evidence within clinical practice settings.[245.1] The establishment of dedicated offices, such as the Office of Translation to Practice at the Mayo Clinic, exemplifies efforts to develop novel tools and processes that facilitate the translation of medical products into practice.[257.1] Additionally, initiatives like the Medical Technology Advance Program (MTAP) at Purdue University demonstrate how integrated technical and educational support can assist researchers in advancing medical technologies toward clinical translation.[256.1] Collectively, these trends underscore a concerted effort to address the longstanding challenge of the 17-year gap between discovery and application of evidence in practice, emphasizing the need for innovative strategies to expedite the translation of laboratory discoveries into clinical applications.[258.1]Potential Areas for Research Expansion
Translational research is poised for significant expansion in several key areas, particularly in addressing healthcare disparities and enhancing community engagement. One critical area for research expansion is the integration of special and underrepresented populations into the translational research process. The COVID-19 pandemic has highlighted existing health disparities, making it essential to ensure that these populations are involved from the outset of research initiatives.[241.1] Strategies to engage underserved communities include co-developing research products that align with community goals, thereby fostering a sense of ownership among community members.[242.1] Moreover, effective recruitment strategies that incorporate input from community leaders can help build trust and facilitate participation among ethnic minority groups, who may be skeptical of research due to historical mistrust.[244.1] This necessitates culturally sensitive approaches and educational workshops aimed at potential participants and their families.[244.1] Another promising direction for translational research is the development of frameworks that allow for better integration between laboratory discoveries and clinical applications. This includes "forward" translational studies that utilize surrogates of human disease to inform drug mechanisms and predict patient responses.[259.1] Such innovations could significantly reduce the time required to translate laboratory findings into clinical practice, which currently averages between 17 to 24 years.[240.1] Furthermore, the role of health policy in bridging the gap between research findings and practical applications is crucial. Health policy research should be guided by the principles of translational biomedical research, ensuring that all stakeholders—including researchers, clinicians, and regulators—are actively involved in the process.[252.1] Embracing implementation science and community-engaged research methods can also enhance the effectiveness of health policies aimed at improving population health and reducing disparities.[253.1]In this section:
References
[4] What is Translational Research? | Clinical and Translational Science ... — Translational research is the process of applying scientific discoveries to improve human health. It involves four stages (T1-T4) that test interventions in different settings and populations.
[7] Translating research evidence into dental practice — Translational research is defined as "the effective translation of the new knowledge, mechanisms, and techniques generated by advances in basic science research into new approaches to the prevention, diagnosis, and treatment of disease to improve health" .The traditional bench-to-bedside enterprise has been generally accepted as the centerpiece of translational research.
[9] Advancing Translation of Clinical Research Into Practice and Population ... — The gap between establishing scientific evidence and integrating that evidence into routine clinical practice has been well characterized. It is frequently noted that only a small proportion of scientific innovation is translated into routine clinical practice and that even then, the process can take more than a decade. 1, 2 Whereas this lag may vary by measurement approach, funding mechanism
[12] Translating research into policy and action - PMC - PubMed Central (PMC) — Health care organizations, payers, policy makers, communities, and research funders need to embrace both implementation science and community‐engaged research methods to identify, evaluate, and sustain the most impactful programs and policies that improve population health and reduce disparities rapidly and effectively. To this end, rigorous evaluations to inform evidence‐based health care policy in learning organizations can greatly benefit from both implementation science and community‐engaged research methods. 21 (all in this issue), present novel funding mechanisms from the VA Quality Enhancement Research Initiative (QUERI) and NIH Disparities Elimination through Coordinated Interventions to Prevent and Control Heart and Lung Disease Risk (DECIPHeR) programs that focus on using community input and the lived experiences of individuals to inform priorities for evidence generation and development of implementation methods to promote health equity and policy impact.
[13] Engaging the Underserved: A Process Model to Mobilize Rural Community ... — Involving community members as partners in research is critical to generating relevant evidence, developing tailored interventions, and improving health outcomes—particularly in underserved communities. 4 Our engagement model may help speed the translation of research into practice by enhancing existing capacity in CTSA and community‐based
[17] Grinding to a halt: the effects of the increasing regulatory burden on ... — The Infectious Diseases Society of America is concerned that excessive regulatory oversight is seriously affecting translational research and quality improvement efforts. Careful studies on the subject of research oversight have documented the adverse effects of regulatory burden on clinical, epidemiological, and health systems research.
[18] Effects of Regulatory Support Services on Institutional Review Board ... — Trochim, Kane, Graham, and Pincus (2011) describe a process marker model for evaluating the efficiency of translational research, which proposes that translational research is a continuous process that moves through several definable markers and ultimately leads to health impacts and outcomes.
[19] Improving quality and efficiency of translational research ... — The quality and efficiency of the US clinical and translational research should be carefully operationalized and based on the efficient and timely use of resources to reduce the errors which have a meaningful impact on the safety of trial participants or credibility of the results (and thereby the care of future patients).
[20] (PDF) Strengthening regulatory science in academia: STARS, an EU ... — Here, we outline what regulatory-related barriers hamper the translational development of novel products or new treatment paradigms initiated in academia, and propose key steps towards improved
[21] Regulatory Support Improves Subsequent IRB Approval Rates in Studies ... — Abstract. We evaluated the impact of a regulatory support service (known as the Regulatory Knowledge and Support Program; RKS), part of the Medical University of South Carolina's Clinical and Translational Science Award, on the success of IRB applications that have previously been deemed by the IRB to be Not Ready for Review (NRR).
[27] What is translational science? - California Learning Resource Network — Translational science, also known as translational research, is a multifaceted approach that seeks to accelerate the translation of scientific discoveries into practical applications that benefit human health. Slow translation of research findings into clinical practice, leading to delayed access to new treatments and therapies for patients. The goal of translational science is to accelerate the development of new treatments and therapies by identifying the most promising research findings and prioritizing their translation into clinical practice. Regulatory hurdles, which can delay the translation of research findings into clinical practice. By understanding the need for translational science, defining its components, and addressing the challenges it faces, we can improve patient outcomes, reduce costs, and enhance collaboration. • Funding to support translational research
[31] Community engagement strategies for population health research with ... — Translational research - simply defined as the process of applying basic scientific discoveries to public health - has contributed to the need for community-engaged research (CEnR) strategies guided by a set of key principles described in Principles of Community Engagement, 2nd edition authored by the Clinical and Translational Science Awards (CTSA) Consortium Key Function Committee
[32] HHS Actions to Enhance Diversity in Clinical Research — The NIH’s Trial Innovation Network (TIN) develops tools and provides clinical trial support that improves trial efficiency including recruitment of diverse populations into trials by increasing decentralized trial methods and providing methods to address diverse participant needs in addition to addressing system and trial barriers to recruitment.44,45 The TIN developed the on-line program Faster Together, Enhancing the Recruitment of Marginalized Communities Clinical Trials for research teams to identify and develop solutions together to address the barriers and facilitators their study team or sites may have to minority recruitment.46 NIH also supports community health centers through its Community Partnerships to Advance Science (ComPASS) program,47 which seeks to increase diversity and inclusion in research by cultivating community trust and partnerships, building research capacity among the community and relevant partners, and enhancing community organization competitiveness for future funding.
[39] Translational research - Wikipedia — Translational research (also called translation research, translational science, or, when the context is clear, simply translation) is research aimed at translating (converting) results in basic research into results that directly benefit humans. The term is used in science and technology, especially in biology and medical science.
[40] PDF — It investigates the concept of translation from both the Western and Indian outlook. The paper digs into the beginnings of translational practice in the West, dating back to Herodotus' time, and in India, dating back to the Vedic era. The paper's final section delves into the topics of rewriting and postcolonial translational issues.
[41] What Constitutes Translational Research? Implications for the Scope of — In one study of 101 very promising claims of scientific discoveries with unambiguous clinical potential published in major science journals between 1979 and 1983, only five resulted in interventions with licensed clinical use by 2003.8 Estimates of the median time required for new scientific discoveries to result in successfully completed clinical trials or entrance into clinical practice range from 17 to 24 years.9,10 These facts are a matter of great concern to policy makers and have led to significant efforts to identify and resolve the obstacles impeding the translation of basic science discoveries into clinical studies and clinical practice.1 The purpose of TVST is to highlight translational research in vision science, and in so doing to accelerate our progress toward developing and assessing treatments for blinding diseases.
[42] Challenges and Solutions in Oncology Clinical Trials — Collaborative Efforts and Partnerships Collaborative efforts and partnerships are essential for overcoming the challenges of oncology clinical trials. Public-private partnerships, involving academic institutions, pharmaceutical companies, and government agencies, can pool resources and expertise to advance cancer research.
[43] Collaborations and Partnerships in Clinical Trials — In the dynamic world of clinical research, collaborations and partnerships are essential for innovation and success. By pooling resources and expertise, stakeholders can overcome challenges and accelerate the development of new therapies. These alliances enhance trial efficiency, reduce costs, and improve patient outcomes. This blog explores various collaborative models, highlights successful
[44] Barriers to Clinical Trial Enrollment: Focus on Underrepresented ... - ACRP — Barriers such as the sparsity of clinical trial sites in rural and underserved communities, inadequate patient reimbursement, and stringent inclusion/exclusion criteria hinder the enrollment of patients from diverse and underrepresented populations. This article outlines strategies for addressing some of the issues facing diversity enrollment, and is intended to stimulate conversation within
[45] Top 5 Challenges and Opportunities in Clinical Trials | PPD — Top 5 Challenges and Opportunities in Clinical Trials | PPD PPD Functional Service Partnership SolutionsShow submenu Top 5 Challenges and Opportunities Drug Developers Face in Executing Clinical Trials PPD, Thermo Fisher Scientific’s clinical research business, surveyed more than 150 decision-making leaders at pharmaceutical and biotech companies around the globe to collect key insights on the state of the evolving drug development industry. Drug developers shared the disruptive impact of the COVID-19 pandemic and ever-changing industry landscape, which resulted in increased challenges in clinical trial execution. Biopharma and biotech companies can overcome the challenges noted by partnering with a clinical research organization that integrates data usage, leverages new technologies, and embraces innovative approaches to advance clinical trials and quickly bring therapies to market.
[46] The meaning of translational research and why it matters — Translational research bridges the gap between basic science and clinical practice, aiming to improve patient care and treatment outcomes.
[48] Translational Research in the Era of Precision Medicine: Where We Are ... — Personalized medicine revolutionized disease treatment along with the parallel development of innovative technologies: (i) omics technology for the digitalization of genetic, biological, and morphological characteristics of patient and pathological tissues; (ii) analytic instruments to directly monitor relevant individual or environmental biological and clinical parameters; (iii) technological analysis of big data (e.g., machine learning and artificial intelligence); and (iv) technology of connection and sharing of the data (file systems, Map-Reduce program systems, resilient distributed datasets, etc.). | 952103 | EuCanImage | A European Cancer Image Platform Linked to Biological and Health Data for Next-Generation Artificial Intelligence and Precision Medicine in Oncology | 1 October 2020 | 30 September 2024 |
[49] Narrowing the 17-Year Research to Practice Gap — In 2012, the NIH established the National Center for Advancing Translational Sciences (NCATS). 8 NCATS is responsible for accelerating the timeline for converting basic science research to testable clinical products (Type 1 translation) and from clinical research into practice (Type 2 translation). As a leader in translational science, NCATS
[50] Funding research translation: how we got here and what to do next — The recently published Australian Medical Research and Innovation Priorities 2020-2022 explicitly include priorities for consumer-driven research, public health interventions research and primary care research. 38 These priorities and aligned funding rounds may not incentivise translational research. 38 However, as we have seen, translational
[53] Where are the NIH's Funding Priorities? - AAF — Executive Summary The National Institutes of Health (NIH) is the largest funder of biomedical research globally, investing more than $45 billion annually, and its choices in funding dispersal dictate the state of research both domestically and internationally. Researchers have voiced concerns that NIH's funding priorities fail to reflect contemporary disease burdens, do not account for […]
[54] Enhancing community engagement in Patient-Centered Outcomes Research ... — Rationale for Novel Application of Curricular Approach. Engaging nontraditional partners (i.e., patients, clinicians, policy-makers, organizational leaders, Community Health Workers [CHWs]) throughout the research process can further research priorities, enhance methodology, and accelerate translation to inform policy and practice and reduce disparities [Reference Mugo, Njuguna and Nduati 1
[55] Evaluation of 3 approaches for increasing patient engagement in ... — Available data suggest that patient registries are cost-effective , increase patient involvement in research have high consent rates , and improve patient autonomy . For example, data from Rimel et al . suggest that online registries can boost participation by more than 4 times compared with paper registries, with
[56] Patient and public involvement in research: a review of practical ... — The PPI tools may help patient and public participants to consider their involvement as a partner in research in the following aspects: (i) to facilitate the patients’ inclusion as partners in the research and their ability to contribute to the study; (ii) to identify the projects from the point of patients and partners from the point of researchers; (iii) for the researchers to respect partners’ contributions and for partners to respect confidential information; (iv) to support the patient partners’ ability to communicate and work with the researcher and their group; (v) to train patient partners in terms of research methods and processes to develop some understanding of the process among the patient partners .
[70] Historical Biography for Translational Medicine: An Important Genre for ... — The criteria for this genre should encompass (i) an accurate and comprehensive chronology of the relevant events and dates of the biographee, (ii) a description of the medical science at the time and the scientific question(s) that was (were) addressed, (iii) the other scientists/physicians who advanced the field to that point in time, (iv) the nature of the advancement made by the biographee, (v) the nature of the scientific obstacles that had to be overcome, (vi) the manner or method by which the person overcame the obstacles, (v) the method or manner of the advance from the fundamental research to clinical medicine, and (vii) the methods by which the person overcame the road blocks to the widespread utilization of the methodology and/or its utilization in the community or population at large. This article accomplishes all of the above criteria for a historical biography for translational medicine. Historical biography for translational medicine can provide medical students and senior faculty with an understanding of how to overcome roadblocks in translational medicine.
[71] The Millennium and Medicine: The 10 Most Influential Persons — The millennium, starting in AD 1000 and ending in AD 2000, includes the last half of the Middle Ages, the Renaissance, the Age of Enlightenment, and the industrial revolution and ends with the modern era. As the millennium ends, it is interesting to speculate about the persons who had a great impact on medicine. The list is long and could include such seminal figures as the Belgian anatomist
[72] The Most Influential People In Medicine Throughout History: From The ... — The infographic only covers about 200 years in medical history, so we certainly can't say it encompasses all influential people in medicine. Though medicine has evolved since ancient times, the impact of ancient physicians like Hippocrates (the "Father of Western Medicine") can still be felt today.
[74] Paradigm shift required for translational research on the brain - Nature — Neuroimaging, multiomics, and artificial intelligence technology are the main drivers of this new approach, foreshadowing dramatic advances in translational research.
[76] Translational research - Wikipedia — Translational research (also called translation research, translational science, or, when the context is clear, simply translation) is research aimed at translating (converting) results in basic research into results that directly benefit humans. The term is used in science and technology, especially in biology and medical science.As such, translational research forms a subset of
[80] Artificial Intelligence and Machine Learning to Accelerate ... — Artificial Intelligence and Machine Learning to Accelerate Translational Research Proceedings of a Workshop—in Brief. The big data revolution, accompanied by the development and deployment of wearable medical devices and mobile health applications, has enabled the biomedical community to apply artificial intelligence (AI) and machine learning algorithms to vast amounts of data.
[81] Tribulations and future opportunities for artificial intelligence in ... — This article reviews AI applications in drug development and clinical practice, making healthcare more sustainable, and highlights concerns and limitations in applying AI. The utilization of AI technologies has become increasingly significant in accelerating various areas of biomedical research, including drug discovery and development, image-based disease diagnosis, and the analysis of large datasets, consequently enhancing decision-making processes across a wide range of fields and disciplines such as drug discovery, molecular biology, imaging, pathology, toxicology, and clinical medicine. The words shown in the left column of the table have increased significantly since the first use of AI in any of the selected fields of medical research, including drug discovery, development, medicinal chemistry, cancer research, PM, etc.
[82] The use of Big Data Analytics in healthcare - PMC - PubMed Central (PMC) — According to research conducted by Wang, Kung and Byrd, Big Data Analytics benefits can be classified into five categories: IT infrastructure benefits (reducing system redundancy, avoiding unnecessary IT costs, transferring data quickly among healthcare IT systems, better use of healthcare systems, processing standardization among various healthcare IT systems, reducing IT maintenance costs regarding data storage), operational benefits (improving the quality and accuracy of clinical decisions, processing a large number of health records in seconds, reducing the time of patient travel, immediate access to clinical data to analyze, shortening the time of diagnostic test, reductions in surgery-related hospitalizations, exploring inconceivable new research avenues), organizational benefits (detecting interoperability problems much more quickly than traditional manual methods, improving cross-functional communication and collaboration among administrative staffs, researchers, clinicians and IT staffs, enabling data sharing with other institutions and adding new services, content sources and research partners), managerial benefits (gaining quick insights about changing healthcare trends in the market, providing members of the board and heads of department with sound decision-support information on the daily clinical setting, optimizing business growth-related decisions) and strategic benefits (providing a big picture view of treatment delivery for meeting future need, creating high competitive healthcare services) .
[83] Translational Medicine in the Era of Big Data and Machine Learning — If successful, translational medicine in the era of big data and machine learning could truly span bench to bedside to population and optimize the end results of healthcare, that is, the triple aim of delivering better patient care, improving population health, and reducing cost. 3 In this article, we review the opportunities and challenges of
[84] Translational health policy: towards an integration of academia and ... — They should be held to account, adopting ethical and safety standards by weighing up the likely harms, burdens and benefits using validated, standardised tools and frameworks building on those used in other fields of translational research. Health policy research and implementation should be guided by the principles of translational biomedical
[85] Translational health policy: towards an integration of academia and policy — Although translational research was initially confined to medical applications, other specialties followed,3 and 'bench to bedside to curbside' is an emerging field that applies to translational health disparities research.4 In the policy space, substantial amounts of resources and investment are dedicated to producing policy documents
[86] Translating Evidence into Population Health Improvement: Strategies and ... — Keywords: dissemination and implementation, public health policy, community engagement, research translation, health-in-all policies This article argues that effective research translation to support meaningful change in population health requires better research aimed at user needs, but it also requires three other ingredients for success: an understanding of the decision-making environment, stakeholder engagement, and strategic communication. The research team, from Washington University in St. Louis and Saint Louis University, received guidance on the project from a cross-sectoral community partner group (CPG) that included key representatives in the St. Louis region from public health and health care, business, education, media, community/economic development, and civic engagement.
[87] Translating research into policy and action - PMC — Health care organizations, payers, policy makers, communities, and research funders need to embrace both implementation science and community‐engaged research methods to identify, evaluate, and sustain the most impactful programs and policies that improve population health and reduce disparities rapidly and effectively. To this end, rigorous evaluations to inform evidence‐based health care policy in learning organizations can greatly benefit from both implementation science and community‐engaged research methods. 21 (all in this issue), present novel funding mechanisms from the VA Quality Enhancement Research Initiative (QUERI) and NIH Disparities Elimination through Coordinated Interventions to Prevent and Control Heart and Lung Disease Risk (DECIPHeR) programs that focus on using community input and the lived experiences of individuals to inform priorities for evidence generation and development of implementation methods to promote health equity and policy impact.
[88] Tribulations and future opportunities for artificial intelligence in ... — This article reviews AI applications in drug development and clinical practice, making healthcare more sustainable, and highlights concerns and limitations in applying AI. The utilization of AI technologies has become increasingly significant in accelerating various areas of biomedical research, including drug discovery and development, image-based disease diagnosis, and the analysis of large datasets, consequently enhancing decision-making processes across a wide range of fields and disciplines such as drug discovery, molecular biology, imaging, pathology, toxicology, and clinical medicine. The words shown in the left column of the table have increased significantly since the first use of AI in any of the selected fields of medical research, including drug discovery, development, medicinal chemistry, cancer research, PM, etc.
[91] Multi-Omics and its Application in Personalised Medicine Studies — This integration has helped identify biomarkers for early detection and potential therapeutic targets. Neurological Disorders. The Alzheimer's Disease Neuroimaging Initiative (ADNI) project utilises multi-omics data, including genomics, proteomics, and imaging data, to understand the molecular basis of Alzheimer's disease.
[116] Identifying barriers and facilitators of translating research evidence ... — Numerous studies have explored the barriers to translating health research evidence into clinical practice. Oliver et al. (2014) identified challenges that policy makers faced when utilising health research findings, and key obstacles were lack of access to relevant research and lack of timely research output.
[117] PDF — W H I T E P A P E R 818-462-8290 | www.sanguinebio.com Overcoming Challenges in Translational Research THE POWER OF BRINGING PATIENTS AND INVESTIGATORS TOGETHER Abstract Translational research emerged as the missing link between basic science and advances in clinical practice meant to markedly improve individual and public health. According to the National Center for Advancing Translational Science, "translation is the process of turning observation in the laboratory, clinic, and community into interventions that improve the health of individuals and the public – from diagnostics and therapeutics to medical procedures and behavioral changes." Stakeholders involved in the process of research translation need to work together to close the gap by increasing collaboration, improving communication, and taking advantage of improvements in the field of biomarkers to promote precision medicine.
[118] Challenges and Drivers of Translational Research - FutureBridge — Translational research is evidence-based research, or disease-targeted research is a collaboration between clinics, research hospitals, governments, academic institutes, and small to large scale industries where different diseases (infectious, acquired, or genetic) are identified, and discoveries are tested in cell culture, animal models, and clinical trials to determine the relevance of novel discoveries in the biological sciences for human health and longevity. It is an iterative process wherein scientific discoveries are integrated into clinical applications and, conversely, clinical observations are used to generate research foci for basic science: the “bench to bedside and back to bench” approach.Translational medicine generates a model of continuous evolution:Due to the introduction of translational research, the knowledge generates since the inception of the concept is far more than actual implementation in clinical practice.
[120] Principal Investigators' Perceptions on Factors Associated with ... — The current study demonstrates that PIs' perceptions on factors that impact the success of clinical research recruitment could be instrumental in improving recruitment strategies. Previous findings indicate that patient recruitment varies widely by sponsor type22-24.
[122] Recruitment and retention of the participants in clinical trials ... — Recruitment and retention of the participants in clinical trials: Challenges and solutions Understanding determinants for the lack of retention would help improve it. This paper focuses on recruitment and retention of patients/healthy participants in a clinical study, based on our experiences in conducting both regulatory and investigator-initiated clinical research in a tertiary care hospital, and puts forth the challenges and potential solutions to address these aspects. A questionnaire-based study conducted among n = 73 investigators across India found that frequently encountered challenges in participant recruitment were intricacy of the study protocol (38%), lack of awareness about clinical trials (37%), and sociocultural issues (37%). Table 3 mentions a summary of solutions to challenges in recruitment and retention of participants in a clinical trial.
[123] 8 Effective Patient Recruitment Strategies in Clinical Trials — Home › Clinical Research › 8 Effective Patient Recruitment Strategies in Clinical Trials Patient recruitment strategies in clinical trials play a pivotal role in overcoming this challenge by offering both traditional and innovative solutions that streamline the process, enhance participant engagement, and ensure timely trial completion. In the landscape of clinical research, successful patient recruitment is vital to the timely and effective completion of trials. By asking focused questions about patient satisfaction, trial expectations, and emotional responses to participation, researchers can adapt their recruitment strategies to better meet patient needs, which in turn improves recruiting patients. Maximizing patient recruitment in clinical trials is an ongoing challenge, but with the right strategies and tools, it’s possible to significantly improve enrollment rates and streamline the process.
[124] Six Public Policy Recommendations to Increase the Translation and ... — To assist public health policy makers, we present 6 actionable public policy recommendations that address 2 barriers to research evidence translation and utilization in practice: (1) research evidence that does not address the needs of practitioners and decision makers and (2) research findings that are not communicated and/or disseminated in ways that reach practitioners and decision makers. One of the main barriers to the translation and utilization of research evidence in public health practice is a disconnection between how researchers communicate and disseminate their findings (ie, peer-reviewed publications/academic journals and conferences) 47 and how practitioners and decision makers learn about the latest research evidence (eg, webinars and workshops, individual communication, social media).47-50 Research findings are often not easily accessible, tailored, or effectively disseminated or readily shared with practitioners.51-53 Often, research findings are (1) presented in a way that does little to demonstrate their relevance and applicability to local circumstances and (2) not easily accessible to nonacademic audiences because of language and communication style focused on discipline-based readership (eg, practitioners may have limited understanding of statistical terms and jargon used in research 54 ).
[125] Translating research into policy and action - PMC - PubMed Central (PMC) — Health care organizations, payers, policy makers, communities, and research funders need to embrace both implementation science and community‐engaged research methods to identify, evaluate, and sustain the most impactful programs and policies that improve population health and reduce disparities rapidly and effectively. To this end, rigorous evaluations to inform evidence‐based health care policy in learning organizations can greatly benefit from both implementation science and community‐engaged research methods. 21 (all in this issue), present novel funding mechanisms from the VA Quality Enhancement Research Initiative (QUERI) and NIH Disparities Elimination through Coordinated Interventions to Prevent and Control Heart and Lung Disease Risk (DECIPHeR) programs that focus on using community input and the lived experiences of individuals to inform priorities for evidence generation and development of implementation methods to promote health equity and policy impact.
[126] (PDF) The challenge of bridging the gap between researchers and policy ... — Using a focus group discussion, major strategies identified by participants that can bridge the gap between health policymakers and researchers included: involving both parties in planning and execution of health research and health programmes; promoting dialogue between researchers and policymakers; institutionalising research grants and
[133] Development and formative evaluation of patient research partner ... — Plain english summary: Patient and public involvement (PPI) improves the quality of health research and ensures that research is relevant to patients' needs. Though PPI is increasingly evident in clinical and health services research, there are few examples in the research literature of effective PPI in translational and laboratory-based research.
[152] Giving Voice to Patients: Developing a Discussion Method to Involve ... — Patient involvement, like translational research, can have different meanings and take many forms. We use 'patient involvement in research' to denote all activities aiming to open up patients' experiences and values for consideration and inclusion in scientific research [5, 18-20]. Such involvement can be promoted for normative and/or
[154] Patient and Public Involvement/Engagement Pre-grant Support Fund — The involvement of the public at the early development stage of research is key to ensure the relevancy of the research and ensures PPIE inclusion at every step of the research process. Grant applications are increasingly requiring public involvement in the research plan and encourage public member co-applicants.
[156] Patient Advocates and Researchers as Partners in Cancer Research: A ... — The Patient-Centered Outcomes Research Institute and Cancer Grand Challenges require the engagement of patient advocates for their research funding programs.14 Advocates can contribute at all steps in the process, and they can help formulate the research questions and identify patient concerns early in development of a research plan.1 For clinical trial proposals, advocates can evaluate if a procedure or inclusion and exclusion criteria would be acceptable to patients.
[157] Building advocacy into research - PMC — This issue of Disease Models & Mechanisms introduces a new series, ‘Building Advocacy into Research’, which is an initiative aimed at fostering communication and mutual support between the research community and the patients, families and advocates impacted by disease. Involving patients and advocates in the design of clinical research can help facilitate enrollment and promote the important goal of equity and inclusion of a diverse spectrum of patients in clinical trials (Pate et al., 2021; Halley et al., 2023). 10.1016/j.nurt.2007.04.008 [DOI] [PMC free article] [PubMed] [Google Scholar] 10.1046/j.1525-1497.1999.00267.x [DOI] [PMC free article] [PubMed] [Google Scholar] 10.1016/j.ebiom.2021.103484 [DOI] [PMC free article] [PubMed] [Google Scholar] 10.1111/j.1369-7625.2004.00232.x [DOI] [PMC free article] [PubMed] [Google Scholar] 10.1016/j.lana.2023.100434 [DOI] [PMC free article] [PubMed] [Google Scholar]
[160] Translating Evidence into Population Health Improvement: Strategies and ... — Keywords: dissemination and implementation, public health policy, community engagement, research translation, health-in-all policies This article argues that effective research translation to support meaningful change in population health requires better research aimed at user needs, but it also requires three other ingredients for success: an understanding of the decision-making environment, stakeholder engagement, and strategic communication. The research team, from Washington University in St. Louis and Saint Louis University, received guidance on the project from a cross-sectoral community partner group (CPG) that included key representatives in the St. Louis region from public health and health care, business, education, media, community/economic development, and civic engagement.
[162] PDF — As such, we can apply principles of effective collaboration, derived from the Science of Team Science (SciTS) literature , adapted through our lens of experience building and leading Coordinating Centers [2-7], to the facilitation of multidisciplinary working groups in translational research.
[163] Facilitating multidisciplinary working groups in translational research ... — Facilitating multidisciplinary working groups in translational research: Strategies to promote cross-center collaboration and sustain the Cancer Center Cessation Initiative Consortium - Volume 8 Issue 1 ... to generate new knowledge. As such, we can apply principles of effective collaboration, derived from the Science of Team Science (SciTS
[164] A systematic review of the barriers, enablers and strategies to ... — | Intervention | Public hospital, public community health services, tier three translation research, allied health, nursing, midwifery, barriers/enablers/challenges to embedding research, strategies to embed research, guideline implementation, evidence-based practice, dissemination research and implementation research/science, tier two and tier three translational research | Non-human studies, private health service, general practice, private practice, university setting, tier one (pre-clinical studies), all other disciplines, chiropractor, Chinese medicine practitioner, evidence-based practice that focused on patient values and clinical judgement, recruitment outside public hospital | Education was a key barrier, with seven articles emphasising a lack of evidence-based practice education amongst both allied health and nursing disciplines and a reported unfamiliarity with implementation science/research and knowledge translation strategies [20–22, 25, 26, 28, 29].
[165] Challenges to Implementation of Global Translational Collaboration ... — Translational collaboration platforms have been successfully developed to support life science research with diverse types of data and from multiple centers. Among the challenges include data integration, quality, sharing models and policies and procedures to manage privacy, liability, and intellectual property.
[166] PDF — W H I T E P A P E R 818-462-8290 | www.sanguinebio.com Overcoming Challenges in Translational Research THE POWER OF BRINGING PATIENTS AND INVESTIGATORS TOGETHER Abstract Translational research emerged as the missing link between basic science and advances in clinical practice meant to markedly improve individual and public health. According to the National Center for Advancing Translational Science, "translation is the process of turning observation in the laboratory, clinic, and community into interventions that improve the health of individuals and the public – from diagnostics and therapeutics to medical procedures and behavioral changes." Stakeholders involved in the process of research translation need to work together to close the gap by increasing collaboration, improving communication, and taking advantage of improvements in the field of biomarkers to promote precision medicine.
[175] Translational health policy: towards an integration of academia and ... — Health policy research and implementation should be guided by the principles of translational biomedical research where researchers, clinicians and regulators all play integral roles in the translational process, every stage of which is transparent, refined over time and formally documented using standardised methods.
[176] Global Research Agenda on Knowledge Translation and Evidence-informed ... — While the importance of translating evidence into policies and practices is widely acknowledged by evidence producers, intermediaries, users, and funders, there is much less agreement on suitable mechanisms for promoting effective evidence use. As a response, the World Health Organization (WHO) has initiated an extensive and inclusive research priority-setting exercise in Knowledge Translation
[177] Translating research into policy and action - PMC - PubMed Central (PMC) — Health care organizations, payers, policy makers, communities, and research funders need to embrace both implementation science and community‐engaged research methods to identify, evaluate, and sustain the most impactful programs and policies that improve population health and reduce disparities rapidly and effectively. To this end, rigorous evaluations to inform evidence‐based health care policy in learning organizations can greatly benefit from both implementation science and community‐engaged research methods. 21 (all in this issue), present novel funding mechanisms from the VA Quality Enhancement Research Initiative (QUERI) and NIH Disparities Elimination through Coordinated Interventions to Prevent and Control Heart and Lung Disease Risk (DECIPHeR) programs that focus on using community input and the lived experiences of individuals to inform priorities for evidence generation and development of implementation methods to promote health equity and policy impact.
[178] Translating Scientific Discovery Into Health Policy Impact: Innovative ... — To do so, we examined how the following attributes may be associated with uptake in policy literature: (a) publication year, as publications that have been available longer have more opportunity to be referenced; (b) journal impact factor, as higher visibility and circulation may create opportunities to be referenced; (c) clinical relevance, as clinically-oriented articles may be more accessible and relevant for documents such as clinical guidelines; (d) altmetric attention, as nonacademic, community/public attention may be more likely to be noticed and referenced by public entities; and (e) academic citation, as articles highly cited by academic peers may also be chosen as references in policy literature.
[197] Translating Evidence into Population Health Improvement: Strategies and ... — Keywords: dissemination and implementation, public health policy, community engagement, research translation, health-in-all policies This article argues that effective research translation to support meaningful change in population health requires better research aimed at user needs, but it also requires three other ingredients for success: an understanding of the decision-making environment, stakeholder engagement, and strategic communication. The research team, from Washington University in St. Louis and Saint Louis University, received guidance on the project from a cross-sectoral community partner group (CPG) that included key representatives in the St. Louis region from public health and health care, business, education, media, community/economic development, and civic engagement.
[200] The Importance of Translational Research in Practical Application - Longdom — This may involve policy changes, healthcare system improvements, and public health initiatives to ensure widespread access and implementation. Challenges in translational research. Funding constraints: Translational research often requires substantial financial resources, and securing funding can be a major obstacle for researchers. Effective
[201] Translational research in medicine - PMC - PubMed Central (PMC) — Translational research in medicine - PMC It is the process which leads from evidence based medicine to sustainable solutions for public health problems. It aims to improve the health and longevity of the world’s populations and depends on developing broad-based teams of scientists and scholars who are able to focus their efforts to link basic scientific discoveries with the arena of clinical investigation, and translating the results of clinical trials into changes in clinical practice, informed by evidence from the social and political sciences. The second hurdle is the translation of clinical studies into medical practice and health care policy. A third obstacle to effective translational medicine is also philosophical. Translational Research: from evidence-based medicine to sustainable solutions for public health problems.
[202] 4 Ways Translational Researchers Can Help Advance the Field of Medicine — Researchers are making great strides in addressing some of the most pressing health problems facing the world today—from developing new ways to reprogram genes to fight cancer, to using immunotherapy to attack the origin of diabetes, to creating a universal flu vaccine. And translational scientists are at the heart of these efforts, helping to move the concepts "from bench to bedside
[204] PDF — healthcare system improvements, and public health initiatives to ensure widespread access and implementation. Challenges in translational research Funding constraints: Translational research often requires substantial financial resources, and securing funding can be a major obstacle for researchers. Effective translational research
[212] Patient and public involvement in the design of an international ... — The involvement of patients and members of the general public at all stages of health research is increasingly recognised as an indication of good research practice .The National Institute for Health and Care Research (NIHR), a major public funder of clinical trials in the UK, defines public involvement as "research being carried out 'with' or 'by' members of the public rather
[213] Impact of Patient Engagement on Healthcare Quality: A Scoping Review — Based on Table 3, findings are categorized into 4 groups: (1) Health outcome/effectiveness: improving the quality of care (16, 3 23, 24, 26–28), the likelihood of achieving treatment results (30), patient satisfaction, and reducing depression and anxiety (25, 31), (2) patient compliance: improving patient adherence to treatment process (32), (3) self-efficiency: increasing patient responsibility and motivates people can take more control of their health management (2, 12–14, 23, 33), and (4) return on investment: cost-effectiveness determined by time and resources, and timing is the biggest barrier to PE so it is more likely care outcomes improve through provider engagement rather than PE(2, 15). [DOI] [PMC free article] [PubMed] [[Google Scholar](https://scholar.google.com/scholar_lookup?journal=Health%20Aff%20(Millwood&title=Patient%20engagement%20in%20health%20care%20safety:%20an%20overview%20of%20mixed-quality%20evidence&author=AE%20Sharma&author=NA%20Rivadeneira&author=J%20Barr-Walker&author=RJ%20Stern&author=AK%20Johnson&volume=37&issue=11&publication_year=2018&pages=1813-20&pmid=30395509&doi=10.1377/hlthaff.2018.0716&)]
[225] Methods to Succeed in Effective Knowledge Translation in Clinical Practice — Purpose: To explore the evidence around facilitation as an intervention for the successful implementation of new knowledge into clinical practice. Organizing construct: The revised version of the Promoting Action on Research Implementation in Health Services (PARIHS) framework, called the integrated or i-PARIHS framework, is used as the explanatory framework.
[226] PDF — W H I T E P A P E R 818-462-8290 | www.sanguinebio.com Overcoming Challenges in Translational Research THE POWER OF BRINGING PATIENTS AND INVESTIGATORS TOGETHER Abstract Translational research emerged as the missing link between basic science and advances in clinical practice meant to markedly improve individual and public health. According to the National Center for Advancing Translational Science, "translation is the process of turning observation in the laboratory, clinic, and community into interventions that improve the health of individuals and the public – from diagnostics and therapeutics to medical procedures and behavioral changes." Stakeholders involved in the process of research translation need to work together to close the gap by increasing collaboration, improving communication, and taking advantage of improvements in the field of biomarkers to promote precision medicine.
[234] Six Public Policy Recommendations to Increase the Translation and ... — To assist public health policy makers, we present 6 actionable public policy recommendations that address 2 barriers to research evidence translation and utilization in practice: (1) research evidence that does not address the needs of practitioners and decision makers and (2) research findings that are not communicated and/or disseminated in ways that reach practitioners and decision makers. One of the main barriers to the translation and utilization of research evidence in public health practice is a disconnection between how researchers communicate and disseminate their findings (ie, peer-reviewed publications/academic journals and conferences) 47 and how practitioners and decision makers learn about the latest research evidence (eg, webinars and workshops, individual communication, social media).47-50 Research findings are often not easily accessible, tailored, or effectively disseminated or readily shared with practitioners.51-53 Often, research findings are (1) presented in a way that does little to demonstrate their relevance and applicability to local circumstances and (2) not easily accessible to nonacademic audiences because of language and communication style focused on discipline-based readership (eg, practitioners may have limited understanding of statistical terms and jargon used in research 54 ).
[235] Translational health policy: towards an integration of academia and ... — Commitment to investing substantial resources into biomedical research is common in developed countries; however, translating this into meaningful changes in clinical practice can be challenging. Translational research began over a decade ago, smoothening the transition from theory to practice, and furthering the evidence-based medicine movement.
[236] Bridging the gap between research, policy, and practice: Lessons ... — Focus areas included direct research support, program evaluation, implementation research, infrastructure and expertise in data sharing, analytics, and health information technology, community needs assessments, educating or conducting interventions with community health workers (CHWs), community professional development, dissemination science, and policy setting. Activities of the C3 include (1) facilitating and supporting university-based research and evaluation of CDPH-sponsored and community-based programs (four to date); (2) jointly developing mechanisms to facilitate dissemination of research opportunities and findings to community audiences; (3) aligning Clinical and Translational Science Institute (CTSI) seed funding opportunities with Healthy Chicago 2.0 priority areas; (4) facilitating collaborations with community-based organizations and community health centers; (5) collaboratively developing and delivering capacity-building workshops on community-engaged research and dissemination strategies; and (6) improving community partner and member understanding of and interest in research.
[237] Idea to Impact: Case Studies in Translational Science — This series of Idea to Impact Case Studies provides a window into successful projects supported by Duke CTSI, revealing both their translational paths and the benefits they are yielding to the healthcare world. ... This case study discusses research methods and results and explores the challenges the researchers faced, as well as the strategies
[240] What Constitutes Translational Research? Implications for the Scope of ... — In one study of 101 very promising claims of scientific discoveries with unambiguous clinical potential published in major science journals between 1979 and 1983, only five resulted in interventions with licensed clinical use by 2003.8 Estimates of the median time required for new scientific discoveries to result in successfully completed clinical trials or entrance into clinical practice range from 17 to 24 years.9,10 These facts are a matter of great concern to policy makers and have led to significant efforts to identify and resolve the obstacles impeding the translation of basic science discoveries into clinical studies and clinical practice.1 The purpose of TVST is to highlight translational research in vision science, and in so doing to accelerate our progress toward developing and assessing treatments for blinding diseases.
[241] Integrating special and underserved populations in translational ... — The COVID-19 pandemic has exacerbated health disparities and rendered them acutely more visible. Special and underrepresented populations need to be fully integrated into the translational research process from the very beginning and all the way through. This article presents findings and rapid anal …
[242] Enhancing Community Engagement in Research: A Tiered Approach — Research products align to community goals and are codeveloped and co-owned by community members. YMTT in this sense provides a case study for a novel approach to community-engaged health disparities research that supports enhanced engagement of underserved populations who are historically underrepresented in health research. 13
[244] Barriers and facilitators for engaging underrepresented ethnic minority ... — As ethnic minority groups can often be sceptical of research participation due to a lack of trust in healthcare/research, taking the time to ensure recruitment approaches are suitable with the input of community leaders for the community will help with breaking these barriers and building trust. Effective strategies that include community engagement, culturally sensitive approaches, flexible research designs, and educational workshops for potential participants and their families can facilitate greater inclusion of ethnic minority populations in research. Future directions for policy development in the participation of ethnic minority populations in healthcare research should focus on community engagement, culturally tailored research resources, cultural competency training for researchers, and addressing socioeconomic barriers in the research planning stages in collaboration with community groups.
[245] Designing for Accelerated Translation (DART) of emerging innovations in ... — Translational research is challenged to speed the advancement of innovations likely to improve clinical and population health. Within this enterprise, dissemination and implementation (D&I) research is well positioned to optimize the adoption and implementation of emerging evidence within practice settings.
[246] Future of Artificial Intelligence—Machine Learning Trends in Pathology ... — Future of Artificial Intelligence (AI) - Machine Learning (ML) Trends in Pathology and Medicine - ScienceDirect Future of Artificial Intelligence (AI) - Machine Learning (ML) Trends in Pathology and Medicine Emerging AI-ML platforms and trends in pathology and medicine are reshaping the field by offering innovative solutions to enhance diagnostic accuracy, operational workflows, clinical decision support, and clinical outcomes. Other related trends include the adoption of ML-Ops (Machine Learning Operations) for managing models in clinical settings, the application of multimodal and multi-agent AI to utilize diverse data sources, expedited translational research and virtualized education for training and simulation. For all open access content, the Creative Commons licensing terms apply.
[247] Artificial Intelligence and Machine Learning to Accelerate ... — Artificial Intelligence and Machine Learning to Accelerate Translational Research Proceedings of a Workshop—in Brief. The big data revolution, accompanied by the development and deployment of wearable medical devices and mobile health applications, has enabled the biomedical community to apply artificial intelligence (AI) and machine learning algorithms to vast amounts of data.
[248] Looking beyond the hype: Applied AI and machine learning in ... — Both new and old techniques of artificial intelligence (AI) and machine learning (ML) can now help increase the success of translational studies in three areas: drug discovery, imaging, and genomic medicine. Using a deep learning model based on RNNs to generate synthetic data shows efficacy in three applications of de novo drug design: generating libraries for high-throughput screening, hit-to‑lead optimisation, and fragment-based hit discovery. 2.Watson D.S., Krutzinna J., Bruce I.N., Griffiths C.E., McInnes I.B., Barnes M.R. Clinical applications of machine learning algorithms: beyond the black box. 21.Yu K.-H., Zhang C., Berry G.J., Altman R.B., Ré C., Rubin D.L. Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features.
[249] Application of Machine Learning in Translational Medicine: Current ... — Abstract. The exponential increase in our ability to harness multi-dimensional biological and clinical data from experimental to real-world settings has transformed pharmaceutical research and development in recent years, with increasing applications of artificial intelligence (AI) and machine learning (ML).
[252] Translational health policy: towards an integration of academia and ... — Health policy research and implementation should be guided by the principles of translational biomedical research where researchers, clinicians and regulators all play integral roles in the translational process, every stage of which is transparent, refined over time and formally documented using standardised methods.
[253] Translating research into policy and action - PMC — Health care organizations, payers, policy makers, communities, and research funders need to embrace both implementation science and community‐engaged research methods to identify, evaluate, and sustain the most impactful programs and policies that improve population health and reduce disparities rapidly and effectively. To this end, rigorous evaluations to inform evidence‐based health care policy in learning organizations can greatly benefit from both implementation science and community‐engaged research methods. 21 (all in this issue), present novel funding mechanisms from the VA Quality Enhancement Research Initiative (QUERI) and NIH Disparities Elimination through Coordinated Interventions to Prevent and Control Heart and Lung Disease Risk (DECIPHeR) programs that focus on using community input and the lived experiences of individuals to inform priorities for evidence generation and development of implementation methods to promote health equity and policy impact.
[256] Advancing medical technology innovation and clinical translation via a ... — Advancing medical technology innovation and clinical translation via a model of industry-enabled technical and educational support: Indiana Clinical and Translational Sciences Institute’s Medical Technology Advance Program - PMC In 2008, Purdue University, a member of the Indiana CTSI research consortium, developed MTAP with the specific goal of assisting Indiana CTSI investigators with advancing toward clinical translation of their medical technologies. MTAP enables investigators to develop technologies and speed their progress toward commercialization and clinical implementation by providing integrated technical and educational support augmented by partnerships with experienced and successful professionals in the medical device and health products industry in Indiana. The program’s integrated medical device design, bionanotechnology development, and preclinical study capabilities, together with supporting educational resources, facilitate the movement of projects through early technology development and evaluation stages toward clinical translation.
[257] Translation to Practice: Accelerating the Cycle of Innovation to Impact — The Office of Translation to Practice (OTP) is housed in the Center for Clinical and Translational Sciences at Mayo Clinic. Established in 2015, the office was tasked with developing and managing novel tools, mechanisms, and processes to facilitate and accelerate the translation of products, such as drugs, biological agents, and medical devices, into practice. Since its inception, the OTP is
[258] FAST: A Framework to Assess Speed of Translation of Health Innovations ... — The 17-year time span between discovery and application of evidence in practice has become a unifying challenge for implementation science and translational science more broadly. ... FAST framework identifies factors that may influence speed of implementation and potential effects of implementation speed. We propose a research agenda to advance
[259] Advocating for change—Integration of efforts across the drug discovery ... — We propose a more comprehensive approach to translational research that requires a framework allowing for the integration between the lab and the clinic. "Forward" translational studies, as described above, utilize surrogates of human disease to inform on drug mechanism of action and biomarkers to predict drug activity and guide patient