PERSPECTIVE   Open Access    

Bioinformatics: Advancing biomedical discovery and innovation in the era of big data and artificial intelligence

More Information
  • Corresponding authors: yl218@iu.edu (Y.L.);  lenghan@iu.edu (L.H.)
  • Bioinformatics made significant progress in generating, analyzing, and interpreting vast amounts of biological data in the past decades. Challenged by the vast amount of data collected from diverse sources, bioinformatics research powered by artificial intelligence has led to novel insights into the field of biomedicine and will continue to drive further discoveries.
  • 加载中
  • [1] Jing, Y., Yang, J., Johnson, D.B., et al. (2022). Harnessing big data to characterize immune-related adverse events. Nat Rev Clin Oncol 19, 269−280.

    View in Article CrossRef Google Scholar

    [2] Rood, J.E., Maartens, A., Hupalowska, A., et al. (2022). Impact of the Human Cell Atlas on medicine. Nat Med 28, 2486−2496.

    View in Article CrossRef Google Scholar

    [3] Yang, J., Chen, Y., Jing, Y., Green, M. R., & Han, L. (2023). Advancing CAR T cell therapy through the use of multidimensional omics data. Nature reviews. Clinical oncology 20, 211−228.

    View in Article Google Scholar

    [4] Vandereyken, K., Sifrim, A., Thienpont, B., & Voet, T. (2023). Methods and applications for single-cell and spatial multi-omics. Nature reviews. Genetics, 1–22. Advance online publication.

    View in Article Google Scholar

    [5] Acosta, J.N., Falcone, G.J., Rajpurkar, P., and Topol, E.J. (2022). Multimodal biomedical AI. Nat Med 28, 1773−1784.

    View in Article CrossRef Google Scholar

    [6] Lovelock, S.L., Crawshaw, R., Basler, S., et al. (2022). The road to fully programmable protein catalysis. Nature 606, 49−58.

    View in Article CrossRef Google Scholar

    [7] Schneider, P., Walters, W.P., Plowright, A.T., et al. (2020). Rethinking drug design in the artificial intelligence era. Nat Rev Drug Discov 19, 353−364.

    View in Article CrossRef Google Scholar

    [8] Swanson, K., Wu, E., Zhang, A., Alizadeh, A. A., & Zou, J. (2023). From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment. Cell 186, 1772−1791.

    View in Article Google Scholar

    [9] Li, M.M., Huang, K., and Zitnik, M. (2022). Graph representation learning in biomedicine and healthcare. Nat. Biomed. Eng 6, 1353−1369.

    View in Article CrossRef Google Scholar

    [10] Wong, A.K., Sealfon, R.S.G., Theesfeld, C.L., and Troyanskaya, O.G. (2021). Decoding disease: from genomes to networks to phenotypes. Nat Rev Genet 22, 774−790.

    View in Article CrossRef Google Scholar

  • Cite this article:

    Liu Y., Chen Y., and Han L. (2023). Bioinformatics: Advancing biomedical discovery and innovation in the era of big data and artificial intelligence. The Innovation Medicine 1(1), 100012. https://doi.org/10.59717/j.xinn-med.2023.100012
    Liu Y., Chen Y., and Han L. (2023). Bioinformatics: Advancing biomedical discovery and innovation in the era of big data and artificial intelligence. The Innovation Medicine 1(1), 100012. https://doi.org/10.59717/j.xinn-med.2023.100012

Figures(1)    

Share

  • Share the QR code with wechat scanning code to friends and circle of friends.

Article Metrics

Article views(2682) PDF downloads(1063) Cited by(0)

Relative Articles

Article Contents

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint