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

Stewart He | 23-ERD-051

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.