2026-10-11T21:02:59Z https://api.figshare.com/v2/oai

oai:figshare.com:article/33940093 2026-09-18T17:57:00Z category_7 category_873 category_734 category_931 category_135 portal_5 item_type_3 month_year_09_2026

<p>Subject characteristics after keeping participants with at least 3 longitudinal records for each modality. Values are counts unless stated otherwise.</p> Chunyan Li (211624) Yutong Mao (12253778) Xiao Liu (65413) Wenrui Hao (534305) Medicine Chemical Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified Computational Biology recovering known temporolimbic provide improved prediction outperforming established clinical frontal vulnerability patterns amyloid -, tau disease neuroimaging initiative div >< p driven dynamical modeling driven modeling neuroimaging benchmarks personalized modeling time remains structural changes standard biomarkers sensitivity analysis results demonstrate quantitative approach pet measurements personalized graph molecular changes model captures latent mechanisms future trajectories fundamental challenge framework provides coordinated evolution biological progression biological change alzheimer ’ accurately predicts 891 participants <p>Subject characteristics after keeping participants with at least 3 longitudinal records for each modality. Values are counts unless stated otherwise.</p> 2026-09-18T17:55:29Z Dataset Dataset 10.1371/journal.pcbi.1014751.t007 https://figshare.com/articles/dataset/_p_Subject_characteristics_after_keeping_participants_with_at_least_3_longitudinal_records_for_each_modality_Values_are_counts_unless_stated_otherwise_p_/33940093 CC BY 4.0