Cancer is a multifactorial disease caused by the malfunction of the biomolecular machinery that regulates the body’s checks and balances. This leads to the uncontrolled growth of specific cell subpopulations, which is driven by evolutionary pressure, ultimately threatening the host’s survival.

Over the past 15 years, numerous algorithmic, statistical, and mathematical modeling strategies have significantly advanced our understanding of cancer, particularly by leveraging the vast and ever-growing multi-modal data generated from cancer samples. Notably, new experimental paradigms, such as patient-derived models, are beginning to yield exciting results.
 
In this lively field, the Como School on Cancer Evolution (CSCE 2025) brings together researchers from both dry and wet labs to tackle the challenges of cancer as an evolutionary disease.

The School offers participants the opportunity to deepen their expertise in cutting-edge concepts, methods, and applications spanning cancer biology and computational sciences, with a sharp focus on data science and artificial intelligence. All in all, all participants will gain insights from pioneers shaping the future of cancer research.

Check the website for detailes information: https://csce.lakecomoschool.org/.

Participants - especially PhD students and postdocs - are encouraged to present their work during dedicated sessions held during the workshop.

Upon completion of the School, all attendees will receive a certificate of participation.