Shauna D. 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.

This paper introduces a conditional universal differential equation (cUDE) to model inter-individual variation in human c-peptide production across different glucose tolerance states.

This paper introduces physiology-informed regularization for universal differential equation models to improve accuracy and reduce data requirements in biological applications.