3 papers
q-bio.QM2026
Discovering Subtypes of Neurodegenerative Progression with a Scalable Connectome-Constrained Dynamic Model
Daniel Semchin, Emile d'Angremont, Hao Ding +6
Parkinson's disease is clinically and biologically heterogeneous, yet its spatiotemporal progression remains poorly characterized. We present a connectome-constrained disease progr…
q-bio.QM2025
Scalable Modeling of Nonlinear Network Dynamics in Neurodegenerative Disease
Daniel Semchin, Emile d'Angremont, Marco Lorenzi +1
Mechanistic models of progressive neurodegeneration offer great potential utility for clinical use and novel treatment development. Toward this end, several connectome-informed mod…
math.OC2024
Disease Progression Modelling and Stratification for detecting sub-trajectories in the natural history of pathologies: application to Parkinson's Disease trajectory modelling
Alessandro Viani, Boris A Gutman, Emile d'Angremont +1
Modelling the progression of Degenerative Diseases (DD) is essential for detection, prevention, and treatment, yet it remains challenging due to the heterogeneity in disease trajec…