Advanced Search
Article Contents
ABOUT THIS ARTICLE
The Innovation Medicine > 2023 Vol. 1 > No. 1 > 100012
Next Article Previous Article
PERSPECTIVE   Open Access     Cite

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

  • 1.

    Center for Epigenetics and Disease Prevention, Institute of Biosciences and Technology, Texas A&M University, Houston, TX 77030, USA

  • 2.

    Department of Translational Medical Sciences, College of Medicine, Texas A&M University, Houston, TX 77030, USA

  • 3.

    Department of Biostatistics and Health Data Science, School of Medicine, Indiana University, Indianapolis, IN 46202, USA

  • 4.

    Brown Center for Immunotherapy, School of Medicine, Indiana University, Indianapolis, IN 46202, USA

More Information
  • Corresponding authors: yl218@iu.edu (Y.L.);  lenghan@iu.edu (L.H.)
  • Received Date:  April 12, 2023
    Accepted Date:  May 16, 2023
    Published Online:  May 28, 2023
The Innovation Medicine  1(1),  https://doi.org/10.59717/j.xinn-med.2023.100012  |  Cite this article
    ABSTRACT
  • 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.
    • FullText(HTML)
  • 加载中
    • REFERENCES
  • [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. DOI: 10.1038/s41571-021-00597-8.

    View in Article CrossRef Google Scholar Scopus

    [2] Rood, J.E., Maartens, A., Hupalowska, A., et al. (2022). Impact of the human cell atlas on medicine. Nat. Med. 28: 2486−2496. DOI: 10.1038/s41591-022-02104-7.

    View in Article CrossRef Google Scholar

    [3] Yang, J., Chen, Y., Jing, Y., et al. (2023). Advancing CAR T cell therapy through the use of multidimensional omics data. Nat. Rev. Clin. Oncol. 20: 211−228. DOI: 10.1038/s41571-023-00729-2.

    View in Article CrossRef Google Scholar Scopus

    [4] Vandereyken, K., Sifrim, A., Thienpont, B., et al. (2023). Methods and applications for single-cell and spatial multi-omics. Nat. Rev. Genet. 24: 494-515. DOI: 10.1038/s41576-023-00580-2.

    View in Article Google Scholar

    [5] Acosta, J.N., Falcone, G.J., Rajpurkar, P., et al. (2022). Multimodal biomedical AI. Nat. Med. 28: 1773−1784. DOI: 10.1038/s41591-022-01981-2.

    View in Article CrossRef Google Scholar Scopus

    [6] Lovelock, S.L., Crawshaw, R., Basler, S., et al. (2022). The road to fully programmable protein catalysis. Nature 606: 49−58. DOI: 10.1038/s41586-022-04456-z.

    View in Article CrossRef Google Scholar Scopus

    [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. DOI: 10.1038/s41573-019-0050-3.

    View in Article CrossRef Google Scholar Scopus

    [8] Swanson, K., Wu, E., Zhang, A., et al. (2023). From patterns to patients: Advances in clinical machine learning for cancer diagnosis, prognosis, and treatment. Cell 186: 1772−1791. DOI: 10.1016/j.cell.2023.01.035.

    View in Article CrossRef Google Scholar Scopus

    [9] Li, M.M., Huang, K., and Zitnik, M. (2022). Graph representation learning in biomedicine and healthcare. Nat. Biomed. Eng. 6: 1353−1369. DOI: 10.1038/s41551-022-00942-x.

    View in Article CrossRef Google Scholar Scopus

    [10] Wong, A.K., Sealfon, R.S.G., Theesfeld, C.L., et al. (2021). Decoding disease: From genomes to networks to phenotypes. Nat. Rev. Genet. 22: 774−790. DOI: 10.1038/s41576-021-00389-x.

    View in Article CrossRef Google Scholar

    • Cited by

  • 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

Welcome!

To request copyright permission to republish or share portions of our works, please visit Copyright Clearance Center's (CCC) Marketplace website at marketplace.copyright.com.

PDF
Figures(1)    

Share

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

Article Metrics

Article views(9112) PDF downloads(4368)

Relative Articles

Cited by

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return

    {{newsColumn.name}}

    Journal links

    {{newsColumn.name}}

    Stay connected

    Website copyright © Innovation Press. Published articles are licensed under CC BY with copyright retained by the authors.