Artificial intelligence for life sciences: A comprehensive guide and future trends

Abstract

<p>Artificial intelligence has had a profound impact on life sciences. This review discusses the application, challenges, and future development directions of artificial intelligence in various branches of life sciences, including zoology, plant science, microbiology, biochemistry, molecular biology, cell biology, developmental biology, genetics, neuroscience, psychology, pharmacology, clinical medicine, biomaterials, ecology, and environmental science. It elaborates on the important roles of artificial intelligence in aspects such as behavior monitoring, population dynamic prediction, microorganism identification, and disease detection. At the same time, it points out the challenges faced by artificial intelligence in the application of life sciences, such as data quality, black-box problems, and ethical concerns. The future directions are prospected from technological innovation and interdisciplinary cooperation. The integration of Bio-Technologies (BT) and Information-Technologies (IT) will transform the biomedical research into AI for Science and Science for AI paradigm.</p>