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Editorial
. 2025 Feb 14;9(1):e56.
doi: 10.1017/cts.2025.28. eCollection 2025.

Data science and artificial intelligence in biology, health, and healthcare

Affiliations
Editorial

Data science and artificial intelligence in biology, health, and healthcare

Peter L Elkin et al. J Clin Transl Sci. .
No abstract available

Keywords: Data science; biomedical informatics; biostatistics; research; training.

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Conflict of interest statement

None.

References

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    1. Chung P, Fong CT, Walters AM, Aghaeepour N, Yetisgen M, O’Reilly-Shah VN. Large language model capabilities in perioperative risk prediction and prognostication. JAMA Surg. 2024;159:928. doi: 10.1001/jamasurg.2024.1621. - DOI - PMC - PubMed
    1. Zink A, Chernew ME, Neprash HT. How should medicare pay for artificial intelligence? JAMA Intern Med. 2024;184:863. doi: 10.1001/jamainternmed.2024.1648. - DOI - PubMed
    1. Resendez S, Franklin G, Stephens R, Maness H, Chamala S, Elkin PL. Analyzing the efficacy of an open access biomedical informatics boot camp. Stud Health Technol Inform. 2024;316:1545–1546. doi: 10.3233/SHTI240711. - DOI - PubMed
    1. Elkin PL, Mullin S, Mardekian J, et al. Using artificial intelligence with natural language processing to combine electronic health record’s structured and free text data to identify nonvalvular atrial fibrillation to decrease strokes and death: evaluation and case-control study. J Med Internet Res. 2021;23(11):e28946. doi: 10.2196/28946. - DOI - PMC - PubMed

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