Frontiers in Mathematical Oncology
Wednesday, June 16 at 09:30am (PDT)Wednesday, June 16 at 05:30pm (BST)Thursday, June 17 01:30am (KST)
Kasia Rejniak & Heiko Enderling (Moffitt Cancer Center, USA)
Mathematical models offer an attractive approach to decode the outcome of various pre-clinical experiments and clinical trials as well as design the next set of crucial experiments to perform. They can help evaluate untested pre-clinical perturbation experiments and clinical protocols in silico to identify new treatment targets, and to help reduce the risk of adverse clinical outcomes due to complex nonlinear feedback mechanisms. Thus, mathematical models developed, calibrated and validated in close collaboration with experimental cancer biologists and clinicians can help predict a patient’s response to different treatments – both in terms of combinatorial/sequential therapies and their dosage and timings on a per-patient basis, which is the promise of “precision medicine”. This minisymposium will bring together experts in mathematical oncology to showcase recent advances in the field.