We provide an overview on the use of biological assays to calibrate and initialize
mechanism-based models of cancer phenomena. Although artificial intelligence methods …

As the single cell field races to characterize each cell type, state, and behavior, the
complexity of the computational analysis approaches the complexity of the biological …

Response to cancer immunotherapies depends on the complex and dynamic interactions
between T cell recognition and killing of cancer cells that are counteracted through …

Current clinical decision-making in oncology relies on averages of large patient populations
to both assess tumour status and treatment outcomes. However, cancers exhibit an inherent …

Simple Summary Using medical imaging data and computational models, we develop a
modeling framework to provide personalized treatment response forecasts to fractionated …

One of the most important factors limiting the success of chemotherapy in cancer treatment is
the phenomenon of drug resistance. We have recently introduced a framework for …

Integrative analysis of multiple data sets has the potential of fully leveraging the vast amount
of high throughput biological data being generated. In particular such analysis will be …