Nicholas A. Rondoni

This paper develops a deep reinforcement learning framework for real-time wound healing treatment optimization, showing 17.71% acceleration in in silico experiments and 40% in vivo.

This paper introduces a control-theoretic framework to predict neuronal firing from calcium imaging data, achieving real-time performance and interpretability.