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Innovative, translational, mechanism-based modelling approach to rationally optimise patient therapy
thesisposted on 15.01.2018 by RAJBHARAN YADAV
In order to distinguish essays and pre-prints from academic theses, we have a separate category. These are often much longer text based documents than a paper.
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.