Over many years, Roger S. Day, ScD has studied how computational and modeling tools could help people create better biological understanding, then apply it to better individual treatment decisions. The technical developments that he works on to support this goal constitute a collection of topics which all related to understanding cancer treatment better. These topics are knowledge representation, software architecture for comprehensive modeling and validation, multi-scale modeling in cancer, strategies for overcoming drug resistance in cancer, and how pharmaceutical and biological interactions should be statistically modeled.
A major thrust of this effort is combining biomathematical models with research results and other knowledge, to better understand the natural history of cancer and develop individualized treatment strategies for cancer. The OncoTCap provides a platform for identifying and solving problems along this... More