2 papers
cs.LG2026
Predicting blood clot growth from sparse post-onset measurements with latent neural differential equations
Lennon J. Shikhman, Ying Qian, He Li
Computational models of blood clotting improve understanding of thrombus formation, but their clinical application remains limited because many model inputs are difficult to measur…
cs.LG2025
Physics-informed deep learning for infectious disease forecasting
Ying Qian, Kui Zhang, Ãric Marty +7
Accurate forecasting of contagious diseases is critical for public health policymaking and pandemic preparedness. We propose a new infectious disease forecasting model based on phy…