{"id":"W4412631047","doi":"10.1038/s41746-025-01788-8","title":"Personalized federated learning for predicting disability progression in multiple sclerosis using real-world routine clinical data","year":2025,"lang":"en","type":"article","venue":"npj Digital Medicine","topic":"AI in cancer detection","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cegep de Saint Jerome; Centre intégré de santé et de services sociaux de Chaudière-Appalaches; Université de Montréal","funders":"Cliniques Universitaires Saint-Luc; Faculty of Medicine and Health, University of Sydney; Allergan; EMD Serono; Koç Üniversitesi Translasyonel Tıp Araştırma Merkezi; Szegedi Tudományegyetem; Vlaamse regering; Universiteit Hasselt; Debreceni Egyetem; Universiteit Antwerpen; Koning Boudewijnstichting; lékařská fakulta Univerzity Karlovy; Teva Pharmaceutical Industries; Università di Bologna; Razi University; Hunter Medical Research Institute; Univerzita Karlova v Praze; Karadeniz Teknik Üniversitesi; Sanofi Genzyme; Universität Basel; Agentschap Innoveren en Ondernemen; KU Leuven; Università degli Studi di Firenze; Eisai; Universidade do Porto; Fonds Wetenschappelijk Onderzoek; Všeobecná Fakultní Nemocnice v Praze; Biogen; Celgene; Koç Üniversitesi; H. Lundbeck A/S; Monash University; Alexion Pharmaceuticals; European Commission; Multiple Sclerosis International Federation; Sultan Qaboos University; Sanofi; American University of Beirut; Bristol-Myers Squibb; Università di Catania; Amgen","keywords":"Multiple sclerosis; Real world data; Computer science; Medicine; Data science; Psychiatry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005335373,0.001005621,0.0009730462,0.001116427,0.0004395581,0.001050786,0.001168463,0.001006053,0.000517161],"category_scores_gemma":[0.009634549,0.0002513482,0.0006554424,0.0009739733,0.0005097531,0.001682854,0.001317602,0.001214446,0.0003319821],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007617282,"about_ca_system_score_gemma":0.001189956,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004187343,"about_ca_topic_score_gemma":0.005109847,"domain_scores_codex":[0.9981551,0.0008523861,0.0001003601,0.0005285809,0.0002223069,0.0001413375],"domain_scores_gemma":[0.9961087,0.00198673,0.000322181,0.001019965,0.000315373,0.0002470429],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.001579694,0.0009414905,0.08283908,0.0002324136,0.0005956629,0.0002410476,0.0002258026,0.5608534,0.003257337,0.001660371,0.006086786,0.341487],"study_design_scores_gemma":[0.00005828409,0.0003181416,0.00726324,0.00004133592,0.00008309128,0.0001795896,0.00009694049,0.9797159,0.002926219,0.007751487,0.001536666,0.00002910226],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6516572,0.003251388,0.3278296,0.002107238,0.0002482471,0.000296472,0.002796816,0.008902349,0.002910677],"genre_scores_gemma":[0.9682245,0.0002437323,0.02935169,0.0002556779,0.00004255422,0.00005309025,0.001336443,0.00003406387,0.0004582433],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005335373,"threshold_uncertainty_score":0.02821648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2064414541292318,"score_gpt":0.4187493395056315,"score_spread":0.2123078853763997,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}