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Editorial
. 2023 Mar 24:10:1167730.
doi: 10.3389/fmolb.2023.1167730. eCollection 2023.

Editorial: Medical knowledge-assisted machine learning technologies in individualized medicine

Feng Gao  1   2 , William C Cho  3 , Xin Gao  4   5 , Wei Wang  6
Affiliations
Editorial

Editorial: Medical knowledge-assisted machine learning technologies in individualized medicine

Feng Gao et al. Front Mol Biosci. .
No abstract available

Keywords: biomedical data analysis; computational biology; individualized medicine; machine learning; medical image analysis; medical knowledge.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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  • Editorial on the Research Topic Medical knowledge-assisted machine learning technologies in individualized medicine

References

    1. Chen X., Wang X., Zhang K., Fung K. M., Thai T. C., Moore K., et al. (2022). Recent advances and clinical applications of deep learning in medical image analysis. Med. Image Anal. 79, 102444. 10.1016/j.media.2022.102444 - DOI - PMC - PubMed
    1. Eloranta S., Boman M. (2022). Predictive models for clinical decision making: Deep dives in practical machine learning. J. Intern Med. 292 (2), 278–295. 10.1111/joim.13483 - DOI - PMC - PubMed
    1. Hanker A. B., Sudhan D. R., Arteaga C. L. (2020). Overcoming endocrine resistance in breast cancer. Cancer Cell 37 (4), 496–513. 10.1016/j.ccell.2020.03.009 - DOI - PMC - PubMed
    1. Jin S., Zeng X., Xia F., Huang W., Liu X. (2021). Application of deep learning methods in biological networks. Brief. Bioinform 22 (2), 1902–1917. 10.1093/bib/bbaa043 - DOI - PubMed
    1. Li L., Wei M., Liu B., Atchaneeyasakul K., Zhou F., Pan Z., et al. (2021). Deep learning for hemorrhagic lesion detection and segmentation on brain CT images. IEEE J. Biomed. Health Inf. 25 (5), 1646–1659. 10.1109/JBHI.2020.3028243 - DOI - PubMed

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