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
Ai seguenti link sono disponibili gli abstracts completi dei talk e dei poster presentati al Congresso del Centro 3R di Genova 2019.
Machine Learning Consensus To Predict the Binding to the Androgen Receptor within the CoMPARA Project
Francesca Grisoni, Viviana Consonni, and Davide Ballabio
Sue Anne Chew, Stefania Moscato, Sachin George, Bahareh Azimi, Serena Danti.
Paola Occhetta; Andrea Mainardi; Emiliano Votta; Queralt Vallmajo-Martin; Martin Ehrbar; Ivan Martin; Andrea Barbero; Marco Rasponi et al. Nature Biomedical Engineering.