Can AI Predict Behavior of Complex Biological Systems?

Biological systems are inherently complex. Identifying patterns in biological systems is a daunting, time consuming endeavor. Biomedical engineers at Duke University have created a novel artificial intelligence (AI) machine learning methodology that can predict behaviors of biological circuits in orders of magnitude faster than standard computational methods, and published their findings in Nature Communications on September 25, 2019. In scientific research for pharmaceuticals, disease treatments, and biomedicine, mathematical modeling is used to understand the processes for the particular biological system. Different systems require a separate approach.