Mathematical and Computational Modelling to Explore Various Potential Cancer Treatments
Explore mathematical and computational modeling techniques for investigating potential cancer treatments in this comprehensive lecture. Delve into theoretical approaches in cancer progression and treatment as part of the "Theoretical Approaches in Cancer Progression and Treatment" program. Learn how advanced mathematical models are revolutionizing cancer research, aiding in the design of clinical trials, and offering new perspectives on understanding and controlling the disease. Discover the application of age-structured population theory, systems biology of cancer networks, dynamical modeling of heterogeneous populations, and machine learning techniques in cancer research. Gain insights into the latest developments in theoretical cancer research and their potential translational impact on improving cancer treatment strategies.