{"university":{"openalex_id":"I46482218","name":"Anqing Normal University"},"topic":"transcriptomic-aging","total_matching":1,"offset":0,"next_offset":null,"records":[{"doi":"https://doi.org/10.3389/bjbs.2026.16141","title":"Artificial intelligence approaches in biological age prediction: current status and challenges","source_url":"https://doi.org/10.3389/bjbs.2026.16141","source_name":"British Journal of Biomedical Science","cited_by_count":0,"is_open_access":true,"openalex_work_id":"W7164151597","publication_date":"2026-06-10","publication_year":2026,"university_research_work_topics":[{"topic_slug":"transcriptomic-aging"}]}],"automation_disclosure":"Generated automatically from cited source metadata. No scientist, clinician, researcher, editor, or human reviewer evaluates this publication before release."}