Lisa Piazza publishes first-author article on applicability domain in predictive modeling

PhD student Lisa Piazza has published a first-author article entitled “ADvisor: An Open-Source Tool for Applicability Domain Definition and Optimization in Molecular Predictive Modeling” in the Journal of Chemical Information and Modeling. The work introduces ADvisor, an open-source tool designed to define, evaluate, and optimize the applicability domain of predictive models, improving their reliability, transparency, and suitability for real-world and regulatory applications.