Cancer remains a leading cause of mortality worldwide. Despite decades of research, controlling or eradicating advanced forms of the disease continues to be a challenge. Mathematical modeling offers a powerful tool for cancer research, enabling the exploration of complex processes and ”what-if” scenarios that may be inaccessible through traditional experimental or clinical methods. This mini-course will in- troduce participants to key mathematical modeling techniques used in cancer studies, emphasizing the multi-scale nature of cancer progression. We will explore models that simulate treatment effects across various biological levels—from intracellular interactions to tissue and whole-body responses, showing how mathematical models can provide quantitative insights, guide experimental design, and help distin- guish competing hypotheses, ultimately supporting the development of innovative cancer therapies.
27 November T.05 10:30 -12:30
28 November Aula C 10:30 -12:30 (TBC)
28 November Aula I 13:30 -15:30
01 December Aula M 8:30-10:30
03 December Alfa 13:30 -15:30
04 December Aula T.05 10:30 - 15:30 (TBC)
Contact: Giandomenico Orlandi/ Giacomo Albi
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