Position: Biology is the Challenge Physics-Informed ML Needs to Evolve

Neural Information Processing Systems 

Physics-Informed Machine Learning (PIML) has successfully integrated mechanistic understanding into machine learning, particularly in domains governed by well-known physical laws.This success has motivated efforts to apply PIML to biology, a field rich in dynamical systems but shaped by different constraints.Biological modeling, however, presents unique challenges: multi-faceted and uncertain prior knowledge, heterogeneous and noisy data, partial observability, and complex, high-dimensional networks.\textbf{In