The bioinformatics group of the Biology Laboratory of the Scuola Normale, in Pisa, has developed a new artificial intelligence model for predicting personalized therapies in oncology. The method makes it possible to predict which drug candidates might be most effective in reducing tumor growth from the genomic information of patients, and in particular the expression level of their genes (transcriptomics).
The new model was developed by Artificial Intelligence graduate student, Francesco Carli, under the supervision of Professor Francesco Raimondi, head of the Laboratory’s bioinformatics group.
In this episode we talked about it with them.
Francesco Carli, Ph.D. for AI student assigned at Scuola Normale Superiore.
Francesco Raimondi, Associate Professor of Molecular Biology, Bioinformatics Group leader – Laboratorio di Biologia Bio@SNS, Scuola Normale Superiore.
