We’re building a computational platform for AI-enabled simulations of human and animal physiological phenomena. We aim to enable users to conduct hypothesis-driven research across the healthcare field, focusing on high-impact areas such as drug development and personalized health.
Our computational platform integrates mechanistic models of in vivo function - such as interactions between xenobiotics, organ function, and physics-based molecular dynamics - with the big data applicability of self-learning artificial intelligence/machine learning algorithms.
Our first product, BIOiSIM, enables the simulation and prediction of drug disposition in animals and humans. The model is trained on known outcomes from thousands of compounds across dozens of different subject populations.