2 papers
cs.LG2026
Physics-Informed Neural Networks for Biological Reaction-Diffusion Systems
William Lavery, Jodie A. Cochrane, Christian Olesen +3
Physics-informed neural networks (PINNs) provide a powerful framework for learning governing equations of dynamical systems from data. Biologically-informed neural networks (BINNs)…
q-bio.PE2023
Using birth-death processes to infer tumor subpopulation structure from live-cell imaging drug screening data
C. Wu, E. B. Gunnarsson, E. M. Myklebust +6
Tumor heterogeneity is a complex and widely recognized trait that poses significant challenges in developing effective cancer therapies. In particular, many tumors harbor a variety…