{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,2]],"date-time":"2026-09-02T21:14:04Z","timestamp":1788383644364,"version":"build-2803163510"},"reference-count":61,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2025,11,20]],"date-time":"2025-11-20T00:00:00Z","timestamp":1763596800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/100017249","name":"Universit\u00e9 Monastir","doi-asserted-by":"publisher","award":["101080329"],"award-info":[{"award-number":["101080329"]}],"id":[{"id":"10.13039\/100017249","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003407","name":"Ministero dell\u2019Istruzione, dell\u2019Universit\u00e0 e della Ricerca","doi-asserted-by":"publisher","award":["PE0000003"],"award-info":[{"award-number":["PE0000003"]}],"id":[{"id":"10.13039\/501100003407","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004434","name":"Universit\u00e0 degli Studi di Firenze","doi-asserted-by":"publisher","award":["0175688"],"award-info":[{"award-number":["0175688"]}],"id":[{"id":"10.13039\/501100004434","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004434","name":"Universit\u00e0 degli Studi di Firenze","doi-asserted-by":"publisher","award":["315887"],"award-info":[{"award-number":["315887"]}],"id":[{"id":"10.13039\/501100004434","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004434","name":"Universit\u00e0 degli Studi di Firenze","doi-asserted-by":"publisher","award":["ECS00000017"],"award-info":[{"award-number":["ECS00000017"]}],"id":[{"id":"10.13039\/501100004434","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["PE0000003"],"award-info":[{"award-number":["PE0000003"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["1550"],"award-info":[{"award-number":["1550"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["101100633"],"award-info":[{"award-number":["101100633"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000780","name":"European Commission","doi-asserted-by":"publisher","award":["15\/03\/2022"],"award-info":[{"award-number":["15\/03\/2022"]}],"id":[{"id":"10.13039\/501100000780","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100005362","name":"Universita degli Studi di Bari Aldo Moro","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100005362","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004702","name":"Universit\u00e0 degli Studi di Genova","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004702","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100021856","name":"Ministero dell'Universit\u00e0 e della Ricerca","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100021856","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004113","name":"Universit\u00e9 Libanaise","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004113","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","ejinme.com","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["European Journal of Internal Medicine"],"published-print":{"date-parts":[[2026,3]]},"DOI":"10.1016\/j.ejim.2025.106613","type":"journal-article","created":{"date-parts":[[2025,11,25]],"date-time":"2025-11-25T05:04:12Z","timestamp":1764047052000},"page":"106613","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":3,"special_numbering":"C","title":["From networks of data to networks of care in clinical medicine: this is not artificial intelligence"],"prefix":"10.1016","volume":"145","author":[{"given":"Pierfrancesco","family":"Novielli","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roberto","family":"Bellotti","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mohamad","family":"Khalil","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5359-1471","authenticated-orcid":false,"given":"Piero","family":"Portincasa","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sabina","family":"Tangaro","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.ejim.2025.106613_bib0001","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1038\/s41591-019-0727-5","article-title":"Axes of a revolution: challenges and promises of big data in healthcare","volume":"26","author":"Shilo","year":"2020","journal-title":"Nat Med"},{"key":"10.1016\/j.ejim.2025.106613_bib0002","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1038\/s41591-018-0300-7","article-title":"High-performance medicine: the convergence of human and artificial intelligence","volume":"25","author":"Topol","year":"2019","journal-title":"Nat Med"},{"key":"10.1016\/j.ejim.2025.106613_bib0003","article-title":"The impact of multi-omics in medicine","volume":"5","author":"Wang","year":"2024","journal-title":"Cell Rep Med"},{"key":"10.1016\/j.ejim.2025.106613_bib0004","doi-asserted-by":"crossref","first-page":"257","DOI":"10.1146\/annurev-nutr-062322-030557","article-title":"Decoding the foodome: molecular networks connecting diet and health","volume":"44","author":"Menichetti","year":"2024","journal-title":"Annu Rev Nutr"},{"key":"10.1016\/j.ejim.2025.106613_bib0005","doi-asserted-by":"crossref","first-page":"1836","DOI":"10.1056\/NEJMra2413243","article-title":"Chemical complexity of food and implications for therapeutics","volume":"392","author":"Menichetti","year":"2025","journal-title":"N Engl J Med"},{"key":"10.1016\/j.ejim.2025.106613_bib0006","doi-asserted-by":"crossref","first-page":"1105","DOI":"10.3390\/ijms23031105","article-title":"Gut microbiota and short chain fatty acids: implications in glucose homeostasis","volume":"23","author":"Portincasa","year":"2022","journal-title":"Int J Mol Sci"},{"key":"10.1016\/j.ejim.2025.106613_bib0007","doi-asserted-by":"crossref","first-page":"2793","DOI":"10.3390\/nu17172793","article-title":"Unlocking polyphenol efficacy: the role of gut microbiota in modulating bioavailability and health effects","volume":"17","author":"Mahdi","year":"2025","journal-title":"Nutrients"},{"key":"10.1016\/j.ejim.2025.106613_bib0008","doi-asserted-by":"crossref","first-page":"1017","DOI":"10.1053\/j.gastro.2025.02.044","article-title":"Global consensus recommendations for metabolic dysfunction-associated steatotic liver disease and steatohepatitis","volume":"169","author":"Younossi","year":"2025","journal-title":"Gastroenterology"},{"key":"10.1016\/j.ejim.2025.106613_bib0009","doi-asserted-by":"crossref","DOI":"10.1111\/eci.70059","article-title":"Bridging the gap in obesity research: a consensus statement from the European Society for Clinical Investigation","volume":"55","author":"Carbone","year":"2025","journal-title":"Eur J Clin Invest"},{"key":"10.1016\/j.ejim.2025.106613_bib0010","doi-asserted-by":"crossref","first-page":"5640","DOI":"10.3390\/ijms25115640","article-title":"Metabolic dysfunction-associated steatotic liver disease: from pathogenesis to current therapeutic options","volume":"25","author":"Portincasa","year":"2024","journal-title":"Int J Mol Sci"},{"key":"10.1016\/j.ejim.2025.106613_bib0011","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1016\/j.ejim.2024.03.004","article-title":"Early and accurate diagnosis of steatotic liver by artificial intelligence (AI)-supported ultrasonography","volume":"125","author":"Santoro","year":"2024","journal-title":"Eur J Intern Med"},{"key":"10.1016\/j.ejim.2025.106613_bib0012","first-page":"404","article-title":"Network medicine\u2014From obesity to the \u201cdiseasome","author":"Barab\u00e1si","year":"2007","journal-title":"Mass Medical Soc"},{"key":"10.1016\/j.ejim.2025.106613_bib0013","doi-asserted-by":"crossref","first-page":"353","DOI":"10.1038\/nn.4502","article-title":"Network neuroscience","volume":"20","author":"Bassett","year":"2017","journal-title":"Nat Neurosci"},{"key":"10.1016\/j.ejim.2025.106613_bib0014","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1111\/j.1749-6632.2010.05888.x","article-title":"The human connectome: a complex network","volume":"1224","author":"Sporns","year":"2011","journal-title":"Ann N Y Acad Sci"},{"key":"10.1016\/j.ejim.2025.106613_bib0015","doi-asserted-by":"crossref","first-page":"bbab454","DOI":"10.1093\/bib\/bbab454","article-title":"A roadmap for multi-omics data integration using deep learning","volume":"23","author":"Kang","year":"2022","journal-title":"Brief Bioinform"},{"key":"10.1016\/j.ejim.2025.106613_bib0016","doi-asserted-by":"crossref","first-page":"e1623","DOI":"10.1002\/wsbm.1623","article-title":"Network medicine for patients' stratification: from single-layer to multi-omics","volume":"15","author":"Petti","year":"2023","journal-title":"WIREs Mech Dis"},{"key":"10.1016\/j.ejim.2025.106613_bib0017","doi-asserted-by":"crossref","first-page":"986","DOI":"10.1016\/j.cell.2011.02.016","article-title":"Interactome networks and human disease","volume":"144","author":"Vidal","year":"2011","journal-title":"Cell"},{"key":"10.1016\/j.ejim.2025.106613_bib0018","doi-asserted-by":"crossref","first-page":"s4","DOI":"10.5604\/01.3001.0010.5493","article-title":"Bile acid physiology","volume":"16","author":"Di Ciaula","year":"2017","journal-title":"Ann Hepatol"},{"key":"10.1016\/j.ejim.2025.106613_bib0019","article-title":"Messengers from the gut: gut microbiota-derived metabolites on host regulation","volume":"13","author":"Li","year":"2022","journal-title":"Front Microbiol"},{"key":"10.1016\/j.ejim.2025.106613_bib0020","doi-asserted-by":"crossref","first-page":"1818","DOI":"10.1089\/ars.2012.4581","article-title":"Dietary (poly) phenolics in human health: structures, bioavailability, and evidence of protective effects against chronic diseases","volume":"18","author":"Del Rio","year":"2013","journal-title":"Antioxid Redox Signal"},{"key":"10.1016\/j.ejim.2025.106613_bib0021","doi-asserted-by":"crossref","first-page":"1246","DOI":"10.1038\/s41590-025-02227-2","article-title":"The role of gut microbial metabolites in the T cell lifecycle","volume":"26","author":"Tran","year":"2025","journal-title":"Nat Immunol"},{"key":"10.1016\/j.ejim.2025.106613_bib0022","doi-asserted-by":"crossref","first-page":"1020","DOI":"10.1136\/gutjnl-2021-326789","article-title":"Gut microbiome and health: mechanistic insights","volume":"71","author":"de Vos","year":"2022","journal-title":"Gut"},{"key":"10.1016\/j.ejim.2025.106613_bib0023","doi-asserted-by":"crossref","DOI":"10.3389\/fmicb.2024.1341152","article-title":"Unraveling the microbiome-metabolome nexus: a comprehensive study protocol for personalized management of Behcet's disease using explainable artificial intelligence","volume":"15","author":"Tangaro","year":"2024","journal-title":"Front Microbiol"},{"key":"10.1016\/j.ejim.2025.106613_bib0024","doi-asserted-by":"crossref","first-page":"324","DOI":"10.3390\/metabo14060324","article-title":"Gut microbiota and sinusoidal vasoregulation in MASLD: a portal perspective","volume":"14","author":"Baffy","year":"2024","journal-title":"Metabolites"},{"key":"10.1016\/j.ejim.2025.106613_bib0025","doi-asserted-by":"crossref","first-page":"2333","DOI":"10.3390\/microorganisms12112333","article-title":"Unraveling the role of the human gut microbiome in health and diseases","volume":"12","author":"Khalil","year":"2024","journal-title":"Microorganisms"},{"key":"10.1016\/j.ejim.2025.106613_bib0026","doi-asserted-by":"crossref","first-page":"1174","DOI":"10.1136\/gutjnl-2020-323071","article-title":"Gut microbiota-derived metabolites as central regulators in metabolic disorders","volume":"70","author":"Agus","year":"2021","journal-title":"Gut"},{"key":"10.1016\/j.ejim.2025.106613_bib0027","doi-asserted-by":"crossref","first-page":"e722","DOI":"10.1002\/mco2.722","article-title":"Radiogenomics: bridging the gap between imaging and genomics for precision oncology","volume":"5","author":"He","year":"2024","journal-title":"MedComm"},{"key":"10.1016\/j.ejim.2025.106613_bib0028","doi-asserted-by":"crossref","first-page":"1151","DOI":"10.1038\/s43018-022-00416-8","article-title":"Multimodal integration of radiology, pathology and genomics for prediction of response to PD-(L)1 blockade in patients with non-small cell lung cancer","volume":"3","author":"Vanguri","year":"2022","journal-title":"Nat Cancer"},{"key":"10.1016\/j.ejim.2025.106613_bib0029","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1186\/s12859-025-06111-6","article-title":"Amogel: a multi-omics classification framework using associative graph neural networks with prior knowledge for biomarker identification","volume":"26","author":"Tan","year":"2025","journal-title":"BMC Bioinformatics"},{"key":"10.1016\/j.ejim.2025.106613_bib0030","doi-asserted-by":"crossref","first-page":"429","DOI":"10.1186\/s12859-022-04955-w","article-title":"BRANEnet: embedding multilayer networks for omics data integration","volume":"23","author":"Jagtap","year":"2022","journal-title":"BMC Bioinformatics"},{"key":"10.1016\/j.ejim.2025.106613_bib0031","doi-asserted-by":"crossref","first-page":"btad643","DOI":"10.1093\/bioinformatics\/btad643","article-title":"Explainable multilayer graph neural network for cancer gene prediction","volume":"39","author":"Chatzianastasis","year":"2023","journal-title":"Bioinformatics"},{"key":"10.1016\/j.ejim.2025.106613_bib0032","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1186\/s13040-024-00406-9","article-title":"Dejean S. Supervised multiple kernel learning approaches for multi-omics data integration","volume":"17","author":"Briscik","year":"2024","journal-title":"BioData Min"},{"key":"10.1016\/j.ejim.2025.106613_bib0033","article-title":"High-level expert group on artificial intelligence","volume":"6","author":"Ai","year":"2019"},{"key":"10.1016\/j.ejim.2025.106613_bib0034","article-title":"From blackbox to explainable AI in healthcare: existing tools and case studies","volume":"2022","author":"Srinivasu","year":"2022","journal-title":"Mobile Inf Syst"},{"key":"10.1016\/j.ejim.2025.106613_bib0035","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1186\/s12911-025-02944-6","article-title":"The role of explainable artificial intelligence in disease prediction: a systematic literature review and future research directions","volume":"25","author":"Alkhanbouli","year":"2025","journal-title":"BMC Med Inform Decis Mak"},{"key":"10.1016\/j.ejim.2025.106613_bib0036","doi-asserted-by":"crossref","first-page":"345","DOI":"10.1002\/qub2.67","article-title":"Bioinformatics and biomedical informatics with ChatGPT: year one review","volume":"12","author":"Wang","year":"2024","journal-title":"Quant Biol"},{"key":"10.1016\/j.ejim.2025.106613_bib0037","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1007\/s44163-024-00197-2","article-title":"Large language models to process, analyze, and synthesize biomedical texts: a scoping review","volume":"4","author":"Doneva","year":"2024","journal-title":"Discov Artif Intell"},{"key":"10.1016\/j.ejim.2025.106613_bib0038","doi-asserted-by":"crossref","DOI":"10.1038\/s41586-025-09529-3","article-title":"Learning the natural history of human disease with generative transformers","author":"Shmatko","year":"2025","journal-title":"Nature"},{"key":"10.1016\/j.ejim.2025.106613_bib0039","doi-asserted-by":"crossref","DOI":"10.3389\/frai.2024.1376042","article-title":"Open and remotely accessible Neuroplatform for research in wetware computing","volume":"7","author":"Jordan","year":"2024","journal-title":"Front Artif Intell"},{"key":"10.1016\/j.ejim.2025.106613_bib0040","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1038\/s43586-022-00174-y","article-title":"Organoids","volume":"2","author":"Zhao","year":"2022","journal-title":"Nat Rev Methods Primers"},{"key":"10.1016\/j.ejim.2025.106613_bib0041","doi-asserted-by":"crossref","first-page":"557","DOI":"10.3390\/bios15090557","article-title":"Sophisticated interfaces between biosensors and organoids: advancing towards intelligent multimodal monitoring physiological parameters","volume":"15","author":"Chen","year":"2025","journal-title":"Biosensors"},{"key":"10.1016\/j.ejim.2025.106613_bib0042","doi-asserted-by":"crossref","DOI":"10.3389\/fncel.2025.1658074","article-title":"Human brain organoids: an innovative model for neurological disorder research and therapy","volume":"19","author":"Li","year":"2025","journal-title":"Front Cell Neurosci"},{"key":"10.1016\/j.ejim.2025.106613_bib0043","doi-asserted-by":"crossref","DOI":"10.1080\/19490976.2025.2543124","article-title":"Personalized colorectal cancer risk assessment through explainable AI and gut microbiome profiling","volume":"17","author":"Novielli","year":"2025","journal-title":"Gut Microbes"},{"key":"10.1016\/j.ejim.2025.106613_bib0044","doi-asserted-by":"crossref","DOI":"10.1016\/j.isci.2024.110709","article-title":"Personalized identification of autism-related bacteria in the gut microbiome using explainable artificial intelligence","volume":"27","author":"Novielli","year":"2024","journal-title":"iScience"},{"key":"10.1016\/j.ejim.2025.106613_bib0045","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1007\/s00432-022-04161-4","article-title":"Applications of artificial intelligence multiomics in precision oncology","volume":"149","author":"Srivastava","year":"2023","journal-title":"J Cancer Res Clin Oncol"},{"key":"10.1016\/j.ejim.2025.106613_bib0046","doi-asserted-by":"crossref","first-page":"1269","DOI":"10.1007\/s12033-024-01133-6","article-title":"From data to cure: a comprehensive exploration of multi-omics data analysis for targeted therapies","volume":"67","author":"Mukherjee","year":"2025","journal-title":"Mol Biotechnol"},{"key":"10.1016\/j.ejim.2025.106613_bib0047","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1136\/gutjnl-2023-331740","article-title":"Artificial intelligence applied to 'omics data in liver disease: towards a personalised approach for diagnosis, prognosis and treatment","volume":"74","author":"Ghosh","year":"2025","journal-title":"Gut"},{"key":"10.1016\/j.ejim.2025.106613_bib0048","doi-asserted-by":"crossref","first-page":"2703","DOI":"10.3390\/ijms26062703","article-title":"Drug discovery and development for heart failure using multi-omics approaches","volume":"26","author":"Rasooly","year":"2025","journal-title":"Int J Mol Sci"},{"key":"10.1016\/j.ejim.2025.106613_bib0049","doi-asserted-by":"crossref","first-page":"24","DOI":"10.3390\/diseases13010024","article-title":"Integrating AI into cancer immunotherapy-a narrative review of current applications and future directions","volume":"13","author":"Olawade","year":"2025","journal-title":"Diseases"},{"key":"10.1016\/j.ejim.2025.106613_bib0050","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1038\/s41746-024-01043-6","article-title":"Informing immunotherapy with multi-omics driven machine learning","volume":"7","author":"Li","year":"2024","journal-title":"NPJ Digit Med"},{"key":"10.1016\/j.ejim.2025.106613_bib0051","doi-asserted-by":"crossref","first-page":"1415","DOI":"10.1016\/j.cell.2021.01.015","article-title":"Precision medicine in 2030-seven ways to transform healthcare","volume":"184","author":"Denny","year":"2021","journal-title":"Cell"},{"key":"10.1016\/j.ejim.2025.106613_bib0053","doi-asserted-by":"crossref","unstructured":"Zhang W., Huang H., Wang L., Lehmann B.D., Chen S.X. An integrative multi-omics random forest framework for robust biomarker discovery. bioRxiv. 2025.","DOI":"10.1101\/2025.03.05.641533"},{"key":"10.1016\/j.ejim.2025.106613_bib0054","doi-asserted-by":"crossref","first-page":"358","DOI":"10.1186\/s12859-019-2942-y","article-title":"Block forests: random forests for blocks of clinical and omics covariate data","volume":"20","author":"Hornung","year":"2019","journal-title":"BMC Bioinformatics"},{"key":"10.1016\/j.ejim.2025.106613_bib0055","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1089\/omi.2020.0001","article-title":"New machine learning applications to accelerate personalized medicine in breast cancer: rise of the support vector machines","volume":"24","author":"Ozer","year":"2020","journal-title":"OMICS"},{"key":"10.1016\/j.ejim.2025.106613_bib0056","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"LeCun","year":"2015","journal-title":"Nature"},{"key":"10.1016\/j.ejim.2025.106613_bib0057","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1038\/s41540-025-00519-9","article-title":"Effective integration of multi-omics with prior knowledge to identify biomarkers via explainable graph neural networks","volume":"11","author":"Tripathy","year":"2025","journal-title":"NPJ Syst Biol Appl"},{"key":"10.1016\/j.ejim.2025.106613_bib0058","unstructured":"Zohari P., Chehreghani M.H. Graph neural networks in multi-omics cancer research: a structured survey. arXiv preprint arXiv:250617234. 2025."},{"key":"10.1016\/j.ejim.2025.106613_bib0059","first-page":"193","article-title":"Centrality analysis methods for biological networks and their application to gene regulatory networks","volume":"2","author":"Koschutzki","year":"2008","journal-title":"Gene Regul Syst Bio"},{"key":"10.1016\/j.ejim.2025.106613_bib0060","doi-asserted-by":"crossref","first-page":"212","DOI":"10.1186\/s12859-019-2746-0","article-title":"Subramaniam S. Topological and functional comparison of community detection algorithms in biological networks","volume":"20","author":"Rahiminejad","year":"2019","journal-title":"BMC Bioinformatics"},{"key":"10.1016\/j.ejim.2025.106613_bib0061","article-title":"A unified approach to interpreting model predictions","volume":"30","author":"Lundberg","year":"2017","journal-title":"Adv Neural Inf Process Syst"},{"key":"10.1016\/j.ejim.2025.106613_bib0062","doi-asserted-by":"crossref","first-page":"e384","DOI":"10.1016\/S2665-9913(25)00101-8","article-title":"Reasoning large language models in rheumatology: a call for responsible action","volume":"7","author":"Venerito","year":"2025","journal-title":"Lancet Rheumatol"}],"container-title":["European Journal of Internal Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S095362052500490X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S095362052500490X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T02:27:46Z","timestamp":1785205666000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S095362052500490X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,3]]},"references-count":61,"alternative-id":["S095362052500490X"],"URL":"https:\/\/doi.org\/10.1016\/j.ejim.2025.106613","relation":{},"ISSN":["0953-6205"],"issn-type":[{"value":"0953-6205","type":"print"}],"subject":[],"published":{"date-parts":[[2026,3]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"From networks of data to networks of care in clinical medicine: this is not artificial intelligence","name":"articletitle","label":"Article Title"},{"value":"European Journal of Internal Medicine","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.ejim.2025.106613","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2025 The Author(s). Published by Elsevier B.V. on behalf of European Federation of Internal Medicine.","name":"copyright","label":"Copyright"}],"article-number":"106613"}}