Cancer is a multi-factorial disease caused by the malfunction of the bio-molecular machinery that regulates the body’s “checks and balances”. This leads to the uncontrolled growth of certain cell subpopulations selected by evolutionary pressure, which ultimately threatens the host’s survival.

In the last 15 years, countless algorithmic, statistical, and mathematical modelling strategies have greatly aided in understanding the disease’s intricacies, especially by leveraging the vast and increasing amounts of omics data generated from cancer samples. Importantly, new experimental paradigms, such as those exploiting patient-derived models, are already delivering exciting results. 

In this lively field, the Como School on Cancer Evolution (CSCE 2025) brings together researchers from both dry­ and wet-labs to explore the challenges posed by cancer as an evolutionary disease.

The School will allow the participants to gain expertise on state-of-the-art concepts, methods and applications from both cancer biology, computational science and biomedical AI, and to get a glimpse into the vision of pioneers in the field of cancer evolution.

Participants are encouraged to present their work in two presentation sessions that will be held during the workshop. All the attendees will receive a certificate of completion of the School.

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