Expanding the Domain of Applicability of Machine Learning Models with Limited Data

Executive Summary

We will develop methods to build machine learning models capable of accurately predicting interactions between chemical compounds and biological systems when experimental/training data is limited. This will allow more efficient development of countermeasures for new or understudied biological threats.