CCA statistics project funded by Intesa Sanpaolo
Collegio Carlo Alberto’s project CluB-PMx2 – CLUstering: Bayesian Partition Models for Precise Medicine has received funding from Fondo di Beneficenza di Intesa Sanpaolo.
The project is directed by Raffaele Argiento, member of the CCA Statistic Initiative, and involves also the University of Bergamo (Dipartimento di Scienze Economiche) and the University of Firenze (Dipartimento di Statistica, Informatica, Applicazioni “G. Parenti” and Dipartimento di Scienze Biomediche Sperimentali e Cliniche “Mario Serio”).
CluB-PMx2 involves a close collaboration with oncologists. The goal is to propose new statistical tools to support cancer treatment strategies. Professor Argiento and his team will develop novel statistical and data science methods for the selection of optimal treatments based on the unique genetic profile of the patients (precision medicine). In particular, the proposed methods will support clinicians in predicting the response to different therapies for breast cancer’s patients.
The study started in March 2022 and will last one year.
Learn more about the project at https://www.carloalberto.org/club-pmx2-clustering-bayesian-partition-models-for-precise-medicine/