{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T04:49:21Z","timestamp":1787028561572,"version":"build-2736575974"},"reference-count":77,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2025,5,7]],"date-time":"2025-05-07T00:00:00Z","timestamp":1746576000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJMS"],"abstract":"<jats:p>Sarcopenia, a condition characterised by the progressive decline in skeletal muscle mass and function, presents significant challenges in geriatric healthcare. Despite advances in its management, complex etiopathogenesis and the heterogeneity of diagnostic criteria underlie the limited precision of existing assessment methods. Therefore, efforts are needed to improve the knowledge and pave the way for more effective management and a more precise diagnosis. To this purpose, emerging technologies such as artificial intelligence (AI) can facilitate the identification of novel and accurate biomarkers by modelling complex data resulting from high-throughput technologies, fostering the setting up of a more precise approach. Based on such considerations, this review explores AI\u2019s transformative potential, illustrating studies that integrate AI, especially machine learning and deep learning, with heterogeneous data such as clinical, anthropometric and molecular data. Overall, the present review will highlight the relevance of large-scale, standardised studies to validate biomarker signatures using AI-driven approaches.<\/jats:p>","DOI":"10.3390\/ijms26094428","type":"journal-article","created":{"date-parts":[[2025,5,7]],"date-time":"2025-05-07T04:20:26Z","timestamp":1746591626000},"page":"4428","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Towards Precision in Sarcopenia Assessment: The Challenges of Multimodal Data Analysis in the Era of AI"],"prefix":"10.3390","volume":"26","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3503-3318","authenticated-orcid":false,"given":"Valerio","family":"Caputo","sequence":"first","affiliation":[{"name":"Department of Life, Health and Environmental Sciences, University of L\u2019Aquila, P.le Salvatore Tommasi, 67100 L\u2019Aquila, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3843-386X","authenticated-orcid":false,"given":"Ivan","family":"Letteri","sequence":"additional","affiliation":[{"name":"Department of Life, Health and Environmental Sciences, University of L\u2019Aquila, P.le Salvatore Tommasi, 67100 L\u2019Aquila, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6577-5892","authenticated-orcid":false,"given":"Silvano Junior","family":"Santini","sequence":"additional","affiliation":[{"name":"Department of Life, Health and Environmental Sciences, University of L\u2019Aquila, P.le Salvatore Tommasi, 67100 L\u2019Aquila, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6474-6368","authenticated-orcid":false,"given":"Gaia","family":"Sinatti","sequence":"additional","affiliation":[{"name":"Department of Life, Health and Environmental Sciences, University of L\u2019Aquila, P.le Salvatore Tommasi, 67100 L\u2019Aquila, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9615-7031","authenticated-orcid":false,"given":"Clara","family":"Balsano","sequence":"additional","affiliation":[{"name":"Department of Life, Health and Environmental Sciences, University of L\u2019Aquila, P.le Salvatore Tommasi, 67100 L\u2019Aquila, Italy"},{"name":"Geriatric Unit, Department of Life, Health and Environmental Sciences, University of L\u2019Aquila, P.le Salvatore Tommasi, 67100 L\u2019Aquila, Italy"},{"name":"Fondazione Francesco Balsano, via Giovanni Battista Martini, 00198 Rome, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2025,5,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"637","DOI":"10.1007\/s12603-022-1801-0","article-title":"Screening, Diagnosis and Management of Sarcopenia and Frailty in Hospitalized Older Adults: Recommendations from the Australian and New Zealand Society for Sarcopenia and Frailty Research (ANZSSFR) Expert Working Group","volume":"26","author":"Daly","year":"2022","journal-title":"J. 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