{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T05:41:57Z","timestamp":1777700517708,"version":"3.51.4"},"reference-count":12,"publisher":"IMR Press","issue":"4","license":[{"start":{"date-parts":[[2026,4,21]],"date-time":"2026-04-21T00:00:00Z","timestamp":1776729600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Front. Biosci. (Landmark Ed)"],"DOI":"10.31083\/fbl50946","type":"journal-article","created":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:29:27Z","timestamp":1777454967000},"source":"Crossref","is-referenced-by-count":0,"title":["Artificial Intelligence and Vitamin D Deficiency: Opportunities and Challenges for Clinical Translation in Chronic Diseases"],"prefix":"10.31083","volume":"31","author":[{"given":"Federica","family":"Nuccio","sequence":"first","affiliation":[{"name":"School and Operative Unit of Allergy and Clinical Immunology, University Hospital of Messina, 98125 Messina, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Emanuela","family":"Zumbo","sequence":"additional","affiliation":[{"name":"School and Operative Unit of Allergy and Clinical Immunology, University Hospital of Messina, 98125 Messina, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6403-6905","authenticated-orcid":true,"given":"Giuseppe","family":"Murdaca","sequence":"additional","affiliation":[{"name":"Department of Internal Medicine, University of Genoa, 16132 Genoa, Italy"},{"name":"Allergology and Clinical Immunology Unit, San Bartolomeo Hospital, 19038 Sarzana, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sebastiano","family":"Gangemi","sequence":"additional","affiliation":[{"name":"School and Operative Unit of Allergy and Clinical Immunology, University Hospital of Messina, 98125 Messina, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"16242","published-online":{"date-parts":[[2026,4,21]]},"reference":[{"key":"ref1","doi-asserted-by":"publisher","unstructured":"Vigna L, Silvia Tirelli A, Grossi E, Turolo S, Tomaino L, Napolitano F, et al. Directional Relationship Between Vitamin D Status and Prediabetes: A New Approach from Artificial Neural Network in a Cohort of Workers with Overweight-Obesity. Journal of the American College of Nutrition. 2019; 38: 681\u2013692.","DOI":"10.1080\/07315724.2019.1590249"},{"key":"ref2","doi-asserted-by":"publisher","unstructured":"Garcia-Carretero R, Vigil-Medina L, Barquero-Perez O, Mora-Jimenez I, Soguero-Ruiz C, Goya-Esteban R, et al. Logistic LASSO and Elastic Net to Characterize Vitamin D Deficiency in a Hypertensive Obese Population. Metabolic Syndrome and Related Disorders. 2020; 18: 79\u201385.","DOI":"10.1089\/met.2019.0104"},{"key":"ref3","doi-asserted-by":"publisher","unstructured":"Archana A, Sumathi V. Supervised model based polycystic ovarian syndrome detection in relation to vitamin d deficiency by exploring different feature selection techniques. Scientific Reports. 2025; 15: 31481.","DOI":"10.1038\/s41598-025-14728-z"},{"key":"ref4","doi-asserted-by":"publisher","unstructured":"Zhang H, Yang G, Dong A. Prediction Model between Serum Vitamin D and Neurological Deficit in Cerebral Infarction Patients Based on Machine Learning. Computational and Mathematical Methods in Medicine. 2022; 2022: 2914484.","DOI":"10.1155\/2022\/2914484"},{"key":"ref5","doi-asserted-by":"publisher","unstructured":"Murdaca G, Banchero S, Tonacci A, Nencioni A, Monacelli F, Gangemi S. Vitamin D and Folate as Predictors of MMSE in Alzheimer\u2019s Disease: A Machine Learning Analysis. Diagnostics (Basel, Switzerland). 2021; 11: 940.","DOI":"10.3390\/diagnostics11060940"},{"key":"ref6","doi-asserted-by":"publisher","unstructured":"Allahyari E, Hanachi P, Ariakia F, Kashfi TE, Ferns GA, Bahrami A, et al. The relationship between neuropsychological function and responsiveness to vitamin D supplementation using artificial neural networks. Nutrition and Health. 2020; 26: 285\u2013294.","DOI":"10.1177\/0260106020937190"},{"key":"ref7","doi-asserted-by":"publisher","unstructured":"Otani K, Kanno K, Akutsu T, Ohdaira H, Suzuki Y, Urashima M. Applying Machine Learning to Determine 25(OH)D Threshold Levels Using Data from the AMATERASU Vitamin D Supplementation Trial in Patients with Digestive Tract Cancer. Nutrients. 2022; 14: 1689.","DOI":"10.3390\/nu14091689"},{"key":"ref8","doi-asserted-by":"publisher","unstructured":"de Sire A, Gallelli L, Marotta N, Lippi L, Fusco N, Calafiore D, et al. Vitamin D Deficiency in Women with Breast Cancer: A Correlation with Osteoporosis? A Machine Learning Approach with Multiple Factor Analysis. Nutrients. 2022; 14: 1586.","DOI":"10.3390\/nu14081586"},{"key":"ref9","doi-asserted-by":"publisher","unstructured":"McGuinness JE, Anderson GL, Mutasa S, Hershman DL, Terry MB, Tehranifar P, et al. Effects of vitamin D supplementation on a deep learning-based mammographic evaluation in SWOG S0812. JNCI Cancer Spectrum. 2024; 8: pkae042.","DOI":"10.1093\/jncics\/pkae042"},{"key":"ref10","doi-asserted-by":"publisher","unstructured":"Daryabor G, Gholijani N, Kahmini FR. A review of the critical role of vitamin D axis on the immune system. Experimental and Molecular Pathology. 2023; 132-133: 104866.","DOI":"10.1016\/j.yexmp.2023.104866"},{"key":"ref11","doi-asserted-by":"publisher","unstructured":"Danieli MG, Brunetto S, Gammeri L, Palmeri D, Claudi I, Shoenfeld Y, et al. Machine learning application in autoimmune diseases: State of art and future prospectives. Autoimmunity Reviews. 2024; 23: 103496.","DOI":"10.1016\/j.autrev.2023.103496"},{"key":"ref12","doi-asserted-by":"publisher","unstructured":"Li P, Liu F, Zhao M, Xu S, Li P, Cao J, et al. Prediction models constructed for Hashimoto\u2019s thyroiditis risk based on clinical and laboratory factors. Frontiers in endocrinology. 2022; 13: 886953.","DOI":"10.3389\/fendo.2022.886953"}],"container-title":["Frontiers in Bioscience-Landmark"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.imrpress.com\/journal\/FBL\/31\/4\/10.31083\/FBL50946","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:30:46Z","timestamp":1777455046000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.imrpress.com\/journal\/FBL\/31\/4\/10.31083\/FBL50946"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,21]]},"references-count":12,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2026]]}},"alternative-id":["S2768-6701(26)02092-7"],"URL":"https:\/\/doi.org\/10.31083\/fbl50946","relation":{},"ISSN":["2768-6701","2768-6698"],"issn-type":[{"value":"2768-6701","type":"print"},{"value":"2768-6698","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,4,21]]},"article-number":"50946"}}