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

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    1. Artificial intelligence (AI) has had a profound impact on all branches of life sciences.

      Interdisciplinary cooperation is essential for the future development of AI in life sciences.

      The integration of BT and IT will transform the research into AI for Science and Science for AI paradigm.

  • 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.
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  • Cite this article:

    Luo M., Yang W., Bai L., et al., (2024). Artificial intelligence for life sciences: A comprehensive guide and future trends. The Innovation Life 2(4): 100105. https://doi.org/10.59717/j.xinn-life.2024.100105
    Luo M., Yang W., Bai L., et al., (2024). Artificial intelligence for life sciences: A comprehensive guide and future trends. The Innovation Life 2(4): 100105. https://doi.org/10.59717/j.xinn-life.2024.100105

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