{"university":{"openalex_id":"I88060688","name":"Universidad Politécnica de Madrid"},"topic":"liver-aging","total_matching":1,"offset":0,"next_offset":null,"records":[{"doi":"https://doi.org/10.20868/upm.thesis.96206","title":"Multivariable Identification of Biological Phenotypes in Ageing and Type 2 Diabetes Using Machine Learning: Associations with Functional Status and Adverse Health Outcomes","source_url":"https://doi.org/10.20868/upm.thesis.96206","source_name":null,"cited_by_count":0,"is_open_access":true,"openalex_work_id":"W7162296293","publication_date":"2026-05-07","publication_year":2026,"university_research_work_topics":[{"topic_slug":"liver-aging"}]}],"automation_disclosure":"Generated automatically from cited source metadata. No scientist, clinician, researcher, editor, or human reviewer evaluates this publication before release."}