{"university":{"openalex_id":"I96673099","name":"Technical University of Denmark"},"topic":"proteomic-aging","total_matching":3,"offset":0,"next_offset":null,"records":[{"doi":"https://doi.org/10.1038/s41746-022-00630-9","title":"Age estimation from sleep studies using deep learning predicts life expectancy","source_url":"https://doi.org/10.1038/s41746-022-00630-9","source_name":"npj Digital Medicine","cited_by_count":39,"is_open_access":true,"openalex_work_id":"W4286485296","publication_date":"2022-07-22","publication_year":2022,"university_research_work_topics":[{"topic_slug":"proteomic-aging"}]},{"doi":"https://doi.org/10.1038/s43856-026-01428-6","title":"Acute biological age as a determinant of adverse outcomes requiring hospitalization in Danish emergency department patients","source_url":"https://doi.org/10.1038/s43856-026-01428-6","source_name":"Communications Medicine","cited_by_count":1,"is_open_access":true,"openalex_work_id":"W7128474372","publication_date":"2026-02-11","publication_year":2026,"university_research_work_topics":[{"topic_slug":"proteomic-aging"}]},{"doi":"https://doi.org/10.1111/acel.70469","title":"Plasma Proteomic Profiling of Young and Older Adults Identifies Candidate Biomarkers of Biological Aging at the Intersection of Age and Disease","source_url":"https://doi.org/10.1111/acel.70469","source_name":"Aging Cell","cited_by_count":0,"is_open_access":true,"openalex_work_id":"W7148704438","publication_date":"2026-04-01","publication_year":2026,"university_research_work_topics":[{"topic_slug":"proteomic-aging"}]}],"automation_disclosure":"Generated automatically from cited source metadata. No scientist, clinician, researcher, editor, or human reviewer evaluates this publication before release."}