Engineered models have emerged as relevant in vitro tools to foresee the translational potential of new therapies from the bench to the bedside in a fast and cost-effective fashi
A year after its creation, promoted by the Universities of Genoa and of Pisa, the Interuniversity Center (Centro3R, https://www.centro3r.it/en) boasts some
Machine Learning Consensus To Predict the Binding to the Androgen Receptor within the CoMPARA Project
Francesca Grisoni, Viviana Consonni, and Davide Ballabio
