Andrea Cavalli

Tesi di Dottorato

• Challenges and Opportunities of Machine Learning for Clinical and Omics Data
• Design and synthesis of E3 ligase RNF5 inhibitors as innovative strategy to trigger mutant CFTR rescue in Cystic Fibrosis
• Structural and biophysical characterization of RAD52 as novel pharmacological target for synthetic lethality