Open access
Aug 2026
A Biologically Constrained Continuous-Time Framework for Long-Horizon Cognition Forecasting in Alzheimer's Disease
Results demonstrate that embedding biological disease mechanisms within continuous-time deep learning improves the accuracy, biological plausibility, and clinical utility of long-horizon cognitive forecasting.
P. Deepika, S. Sunkari, S. Upadhyayula et al.
· medRxiv · 0 citations