Concepedia

Machine Learning For Formulation

Machine Learning for Formulation is a computational methodology that applies machine learning algorithms to the design, optimization, and prediction of pharmaceutical formulations by leveraging experimental data and physicochemical principles to enhance decision-making in drug development.

174

Publications

9.9K

Citations

707

Authors

280

Institutions

Publications per year

2017–2026

107

Parents

Publications

174

An energy approach to the solution of partial differential equations in computational mechanics via machine learning: Concepts, implementation and applications

Esteban Samaniego, Cosmin Anitescu, Somdatta Goswami et al. · Computer Methods in Applied Mechanics and Engineering · 2020 · 1.9K citations · Full text

, , +17

Machine Learning and Artificial Intelligence in Pharmaceutical Research and Development: a Review

The AAPS Journal · 2022 · 279 citations · Full text

, , +16

Machine learning models to accelerate the design of polymeric long-acting injectables

Pauric Bannigan, Zeqing Bao, Riley J. Hickman et al. · Nature Communications · 2023 · 214 citations · Full text

, , +13

Performance comparison of neural network training algorithms in modeling of bimodal drug delivery

Alireza Ghaffari, Hamid Abdollahi, Mohammad Reza Khoshayand et al. · International Journal of Pharmaceutics · 2006 · 211 citations

, , +14

Comparing various machine learning approaches in modeling the dynamic viscosity of CuO/water nanofluid

Mohammad Hossein Ahmadi, Behnam Mohseni-Gharyehsafa, Mahyar Ghazvini et al. · Journal of Thermal Analysis and Calorimetry · 2019 · 194 citations

, , +16

1–5 of 174

Authors

707

  1. DO
    Defang Ouyang

    University of Macau, Macao SAR China

    10 publications · 584 citations

    10

    h-index

  2. AW
    Abdul W. Basit

    University College London, United Kingdom

    7 publications · 450 citations

    7

    h-index

  3. KT
    Kozo Takayama

    Hoshi University, Japan

    7 publications · 360 citations

    7

    h-index

  4. ZY
    Zhuyifan Ye

    University of Macau, Macao SAR China

    6 publications · 338 citations

    6

    h-index

  5. PB
    Panagiotis Barmpalexis

    Aristotle University of Thessaloniki, Greece

    6 publications · 377 citations

    6

    h-index

1–5 of 707

Institutions

280

  1. University of Macau

    Macao, Macao

    11 h-index

    48 publications

    3.5K citations

  2. University College London

    London, United Kingdom

    10 h-index

    53 publications

    3.6K citations

  3. Hoshi University

    Tokyo, Japan

    7 h-index

    31 publications

    1.6K citations

  4. Ebara (Japan)

    Tokyo, Japan

    6 h-index

    27 publications

    1.5K citations

  5. Aristotle University of Thessaloniki

    Thessaloniki, Greece

    6 h-index

    19 publications

    1.2K citations

  6. AstraZeneca (United Kingdom)

    Cambridge, United Kingdom

    4 h-index

    8 publications

    298 citations

  7. University of Toronto

    Toronto, Canada

    4 h-index

    19 publications

    1.8K citations

  8. Massachusetts Institute of Technology

    Cambridge, United States

    3 h-index

    20 publications

    1.2K citations

1–8 of 280

Venues

  1. International Journal of Pharmaceutics

    13 publications · 811 citations

    13

    h-index

  2. AAPS PharmSciTech

    10 publications · 311 citations

    9

    h-index

  3. Journal of Pharmaceutical Sciences

    7 publications · 363 citations

    7

    h-index

  4. European Journal of Pharmaceutics and Biopharmaceutics

    EJPB · 7 publications · 491 citations

    7

    h-index

  5. Pharmaceutical Research

    6 publications · 352 citations

    6

    h-index

1–5