{"id":"W4399660826","doi":"10.1016/j.isci.2024.110263","title":"Machine learning on longitudinal multi-modal data enables the understanding and prognosis of Alzheimer’s disease progression","year":2024,"lang":"en","type":"article","venue":"iScience","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Janssen Alzheimer Immunotherapy Research And Development; National Key Research and Development Program of China; National Health and Medical Research Council; Genentech; National Institutes of Health; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; Austin Health; IXICO; Natural Science Foundation of Xinjiang; H. Lundbeck A/S; Servier; Eisai; National Natural Science Foundation of China; University of Melbourne; National Institute on Aging; Commonwealth Scientific and Industrial Research Organisation; Northern California Institute for Research and Education; Natural Science Foundation of Xinjiang Province; University of Southern California; Pfizer; Biogen; BioClinica; Eli Lilly and Company; U.S. Department of Defense; Medical Research Council; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; State Government of Victoria; Novartis Pharmaceuticals Corporation; Dementia Collaborative Research Centres, Australia; Edith Cowan University; Yulgilbar Foundation; Bristol-Myers Squibb; Alzheimer's Drug Discovery Foundation; Science and Industry Endowment Fund; Alzheimer's Association","keywords":"Disease; Longitudinal data; Modal; Data science; Neuroscience; Alzheimer's disease; Cognitive science; Medicine; Computer science; Psychology; Internal medicine; Chemistry; Data mining","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006623025,0.0000767547,0.00008455311,0.00009238253,0.0002036564,0.0000961082,0.0001569377,0.00001345091,0.00004387119],"category_scores_gemma":[0.0001706448,0.00004152965,0.00002207188,0.0002804927,0.0003719554,0.0001858819,0.0002717258,0.0001682387,0.000005151476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002044219,"about_ca_system_score_gemma":0.000108806,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001842169,"about_ca_topic_score_gemma":0.000004718923,"domain_scores_codex":[0.9988087,0.00004990594,0.0001030144,0.0003379822,0.0005026003,0.0001977309],"domain_scores_gemma":[0.9995466,0.00009746775,0.00002483232,0.0001870619,0.00003081009,0.000113211],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001374171,0.0002003897,0.9347147,0.0001679986,0.00004826043,0.0001185012,0.0002175326,0.000006331397,0.00176177,0.0007598478,0.0001254063,0.06174188],"study_design_scores_gemma":[0.0006923857,0.0007438652,0.7180269,0.001472763,0.0002622924,0.00002823746,0.0008829328,0.2739417,0.001987247,0.0002129636,0.001623151,0.0001255315],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9509396,0.02808781,0.009456038,0.007940928,0.0001705404,0.001390561,0.00005658369,0.0001144399,0.00184351],"genre_scores_gemma":[0.9992942,0.0002375972,0.0001641026,0.00002729788,0.00002659021,0.00001624231,0.0000163414,0.000006641763,0.0002110319],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2739354,"threshold_uncertainty_score":0.169353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.189435326542626,"score_gpt":0.4165649347674241,"score_spread":0.2271296082247981,"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."}}