Multi-modal deep learning and explainable AI for predicting multiple dementia-related neuropathologies from brain MRI, clinical, and genetic data

Alzheimer’s disease and related dementias (ADRD) typically involve multiple, overlapping pathologies—such as amyloid-β (Aβ), tau, cerebral amyloid angiopathy (CAA), TDP-43, hippocampal sclerosis, and alpha-synuclein—that complicate diagnosis and treatment. While PET and CSF biomarkers can detect abn...

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Bibliografski detalji

Glavni autori:	Tamoghna Chattopadhyay, Rudransh Kush, Rahul H. Ankarath, Pavithra Senthilkumar, Emma J. Gleave, Christopher Patterson, Conor Owens-Walton, Sophia I. Thomopoulos, Sterling C. Johnson, Elizabeth C. Mormino, Duygu Tosun, Timothy J. Hohman, Paul M. Thompson
Format:	Artigo
Jezik:	Inglês
Izdano:	Frontiers Media S.A. 2026-07-01
Serija:	Frontiers in Neurology
Teme:	Alzheimer’s disease deep learning explainable AI multimodality neuropathology prediction VBM
Online pristup:	https://www.frontiersin.org/articles/10.3389/fneur.2026.1839071/full
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