Uncovering disease progression trajectories across multiple timescales with hybrid ODE-mixture models
Max de Rooij, Jesse D. Quadt, Natal A.W. van Riel, Shauna O'Donovan
This paper introduces LCPTA, a hybrid ODE-mixture model for multiscale disease progression analysis, showing it outperforms neural approaches in capturing multivariate trajectories in metabolic disease studies.
bioRxiv · Nov 2, 2026 · PreprintSystems Biology