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. |
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| 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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| ISSN: | 2474-0896 |
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| DOI: | 10.3389/bjbs.2026.16141 |
