Biomedical engineers have devised a machine learning approach to modeling the interactions between complex variables in engineered bacteria that would otherwise be too cumbersome to predict. Their algorithms are generalizable to many kinds of biological systems.
Machine learning predicts behavior of biological circuits: Neural networks cut modeling times of complex biological circuits to enable new insights into their inner workings
