Michael Reutlinger

Model Validation Protocols for Machine Learning in Small Molecule Drug Discovery

This work presents a model validation framework consisting of five recommendations that would enable the community to move beyond aggregate metrics toward understanding where and why molecular property prediction models fail, and connects evaluation choices to real-world applications and case studies encountered in pharmaceutical research.