science
Reinforcement Learning Finds New Cardiac Reentry Mechanisms
A bioRxiv preprint reports that reinforcement learning identified previously unreported ways to initiate reentry in models of excitable tissue. Learned stimulation patterns produced unidirectional propagation in cardiac monolayers, while whole-heart experiments offered preliminary evidence that they can influence early wave propagation.