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Open access Aug 2026

Elucidating the neuropathological and molecular heterogeneity of amyloid beta and tau in Alzheimer's disease through machine learning and transcriptomic integration

Functional brain network alterations associated with Alzheimer's disease (AD) pathology, including amyloid beta (Aβ) and phosphorylated tau (p‐tau), are difficult to interpret due to overlapping aging‐associated and non‐amyloid biological processes.

K. Zhao, Hua Xie, Tovia Jacobs et al. · 0 citations
Open access Jul 2026

Cross-attention-guided subject-adaptive graph learning for multimodal autism classification: integrating structural and functional MRI data

This work proposes a cross-attention-guided subject-adaptive graph network (CAS-GNN) model that integrates structural MRI and resting-state functional connectivity data, effectively fusing complementary multimodal information and provides a promising tool for interpretable and robust ASD diagnosis, accelerating biomarker discovery and development.

Yan Tang, Chao Yang, Yihang Xu et al. · 0 citations