Research Progress in Artificial Intelligence on Organ Biological Age
Journal: Journal of Clinical Medicine Research DOI: 10.32629/jcmr.v6i2.4051
Abstract
Biological age is a standard for evaluating the degree of aging of human organs through a series of age-related markers, and it is affected by factors such as genetics, environment and lifestyle. The prediction of organ biological age aims to assess organ aging, reflecting health and predicting age-related diseases. Various machine learning models have demonstrated strong performance in predicting organ biological age, highlighting their broad clinical application prospects. This article focuses on the applications of AI in biological age prediction and related research areas.
Keywords
artificial intelligence, aging, biological age, neural networks
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[7] Le Goallec A, Diai S, Collin S, Prost JB, Vincent T, Patel CJ. Using deep learning to predict abdominal age from liver and pancreas magnetic resonance images. Nat Commun. 2022 Apr 13;13(1):1979. doi: 10.1038/s41467-022-29525-9. PMID: 35418184; PMCID: PMC9007982.
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