Innovative, translational, mechanism-based modelling approach to rationally optimise patient therapy

2018-01-15T03:27:26Z (GMT) by RAJBHARAN YADAV
The increasing prevalence of infections caused by multidrug-resistant Gram-negative ‘superbugs’ is emerging as one of the most significant threats to human health. In the face of the dire shortage of new antibiotics and rapid emergence of resistance during monotherapy, rationally designed combinations of available antibiotics are a highly promising option to combat this global threat. This thesis combines experimental models, mechanism-based modelling and Monte Carlo simulations using human population pharmacokinetics to optimise combination therapies for specific patient populations. The application of the approach developed in this thesis has significant potential to optimise clinical regimens, and ultimately save patient lives.