Model predictive control of cancer cellular dynamics: a new strategy for therapy design

Recent advancements in cybergenetics have led to the development of new computational and experimental platforms that enable us robustly steer cellular dynamics by applying external feedback control. Such technologies never been applied regulate intracellular cancer cells. Here, we show silico adaptive model predictive control (MPC) can effectively be used simulated signalling Non-Small Cell Lung Cancer (NSCLC) cells resemble those wild type Our optimisation-based algorithm enables tailoring cost function force controller alternate different drugs and/or reduce drug exposure, minimising both drug-induced toxicity resistance treatment. results pave way for experiments cells, and, longer term, support design improved combination therapies biomedical applications.