Harsh Jain (Mathematics, Florida state University), Samuel Handelman (Internal Medicine, University of Michigan)
Mathematical modeling in oncology has a proven track record of providing crucial medical and bio- logical insights, and a new generation of approaches promise to revolutionize cancer care. These novel approaches elucidate the response of cancer cells to therapeutic interventions and will improve treatment outcomes within individuals and across populations. This mini-symposium will bring together notewor- thy advances in multiscale modeling that explain how heterogeneity at both cellular and inter-individual levels provides a challenge and an opportunity in improving cancer care. We will highlight the challenges faced in bridging cellular, molecular, phenotypic and organismal scales with bioinformatics approaches, dynamical systems modeling, and hybrid models. We will explore specific applications in prostate cancer, hepatocellular cancer, and combination therapies.