The study reveals marked variability among individuals who are otherwise all defined as cognitively normal, and provides a data-driven stratification framework for enriching disease-modifying and preventive trials by identifying cognitively normal individuals at high risk for future cognitive decline.
NetMoint is developed, a multimodal framework integrating partially observed plasma proteomic, structural magnetic resonance imaging and cerebral haemodynamic phenotypes to predict individualized risks of Alzheimer's disease, vascular dementia and frontotemporal dementia across 1, 5, 10- and 20-year horizons, establish...
Zhi-Qi Lee, Hao-Wen Li, Tao Liu et al.· 0 citations
These findings, replicated in four diverse and independent datasets, support imaging-based subtyping as a scalable and clinically translatable approach for capturing heterogeneity in AD pathophysiology and associated cognitive trajectories.
A. Metz, Cassandra Polizzi, R. Moqadam et al.· medRxiv· 0 citations
Bomarker-confirmed AD comprised internally reproducible atrophy trajectories with distinct cognitive, vascular, and molecular profiles and may complement fluid biomarkers and conventional volumetry for patient stratification and prognosis.
Chen-Hui Mao, Yu-Yue Qiu, Bo Li et al.· NeuroImage· 0 citations
A multivariate blood-based framework integrating 19 molecular assays and six risk instruments in the Bio-Hermes-001 cohort supports resilience and resistance as molecularly distinct subgroups and provides a scalable framework for pathology-informed stratification and mechanistic investigation.
K. Mavromati, C. Dalby, A. Dibble et al.· medRxiv· 0 citations
An integrated research roadmap for MED is proposed that prioritizes biomarker-enriched cohorts, combination vascular and neurodegenerative therapies, and pragmatic trials, and offers the most plausible strategy to reduce the growing global burden of MED.
Adam de Havenon, Kevin N. Sheth, Carolyn A. Fredericks et al.· Neurotherapeutics· 0 citations
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