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Artificial intelligence approaches in biological age prediction: current status and challenges.

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Title: Artificial intelligence approaches in biological age prediction: current status and challenges.
Authors: Wang G; Digital and Intelligent Health Research Center, Anqing Normal University, Anqing, China., Ding P; Digital and Intelligent Health Research Center, Anqing Normal University, Anqing, China.; School of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China., Li Z; Digital and Intelligent Health Research Center, Anqing Normal University, Anqing, China., Tang Q; Digital and Intelligent Health Research Center, Anqing Normal University, Anqing, China.; School of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China., Tu L; School of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China., Jiang T; School of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China., Zhang L; Digital and Intelligent Health Research Center, Anqing Normal University, Anqing, China., Su B; Digital and Intelligent Health Research Center, Anqing Normal University, Anqing, China.; School of Mathematics and Computer Science, Tongling University, Tongling, China., Xu J; School of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China., An H; Health Management and Physical Examination Center, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, China.
Source: British journal of biomedical science [Br J Biomed Sci] 2026 Jun 10; Vol. 83, pp. 16141. Date of Electronic Publication: 2026 Jun 10 (Print Publication: 2026).
Publication Type: Journal Article; Review
Journal Info: Publisher: Frontiers Media SA Country of Publication: Switzerland NLM ID: 9309208 Publication Model: eCollection Cited Medium: Internet ISSN: 2474-0896 (Electronic) Linking ISSN: 09674845 NLM ISO Abbreviation: Br J Biomed Sci Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Artificial intelligence approaches in biological age prediction: current status and challenges.
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  Data: <searchLink fieldCode="AU" term="%22Wang+G%22">Wang G</searchLink>; Digital and Intelligent Health Research Center, Anqing Normal University, Anqing, China.<br /><searchLink fieldCode="AU" term="%22Ding+P%22">Ding P</searchLink>; Digital and Intelligent Health Research Center, Anqing Normal University, Anqing, China.; School of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.<br /><searchLink fieldCode="AU" term="%22Li+Z%22">Li Z</searchLink>; Digital and Intelligent Health Research Center, Anqing Normal University, Anqing, China.<br /><searchLink fieldCode="AU" term="%22Tang+Q%22">Tang Q</searchLink>; Digital and Intelligent Health Research Center, Anqing Normal University, Anqing, China.; School of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.<br /><searchLink fieldCode="AU" term="%22Tu+L%22">Tu L</searchLink>; School of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.<br /><searchLink fieldCode="AU" term="%22Jiang+T%22">Jiang T</searchLink>; School of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.<br /><searchLink fieldCode="AU" term="%22Zhang+L%22">Zhang L</searchLink>; Digital and Intelligent Health Research Center, Anqing Normal University, Anqing, China.<br /><searchLink fieldCode="AU" term="%22Su+B%22">Su B</searchLink>; Digital and Intelligent Health Research Center, Anqing Normal University, Anqing, China.; School of Mathematics and Computer Science, Tongling University, Tongling, China.<br /><searchLink fieldCode="AU" term="%22Xu+J%22">Xu J</searchLink>; School of Traditional Chinese Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China.<br /><searchLink fieldCode="AU" term="%22An+H%22">An H</searchLink>; Health Management and Physical Examination Center, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, Xiangyang, China.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Frontiers+Media+SA%22">Frontiers Media SA </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>9309208 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>2474-0896 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209674845%22">09674845 </searchLink><i>NLM ISO Abbreviation: </i>Br J Biomed Sci <i>Subsets: </i>MEDLINE
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        Value: 10.3389/bjbs.2026.16141
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              Text: 2026 Jun 10
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