June 10, 2026 article Open access Artificial intelligence approaches in biological age prediction: current status and challenges British Journal of Biomedical Science DOI: 10.3389/bjbs.2026.16141 Full text (OA) OpenAlex Authors 0 Author list not loaded yet. Cited by 0 stored of 0 References 2 Search Sort Most cited Newest Oldest Patent citations Title Any typearticle review book-chapter conference-paper preprint dissertation book dataset other Any fieldAgricultural and Biological Sciences Arts and Humanities Biochemistry, Genetics and Molecular Biology Business, Management and Accounting Chemical Engineering Chemistry Computer Science Decision Sciences Dentistry Earth and Planetary Sciences Economics, Econometrics and Finance Energy Engineering Environmental Science Health Professions Immunology and Microbiology Materials Science Mathematics Medicine Neuroscience Nursing Pharmacology, Toxicology and Pharmaceutics Physics and Astronomy Psychology Social Sciences Veterinary Open access Clarifying the biological and statistical assumptions of cross-sectional biological age predictors: an elaborate illustration using synthetic and real data 2024 BMC Medical Research Methodology article Mathematics Statistical Methods in Epidemiology Open access cited by 1 patent 38 citations The AccelerAge framework: a new statistical approach to predict biological age based on time-to-event data 2024 European Journal of Epidemiology article Biochemistry, Genetics and Molecular Biology Genetics, Aging, and Longevity in Model Organisms Open access 14 citations 2 results