Final_Thesis_Rajbharan Yadav_25758241.pdf (13.86 MB)
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Innovative, translational, mechanism-based modelling approach to rationally optimise patient therapy

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posted on 15.01.2018, 03:27 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.


Campus location


Principal supervisor

Cornelia Barbara Landersdorfer

Additional supervisor 1

Jurgen Bulitta

Year of Award


Department, School or Centre

Drug Delivery, Disposition and Dynamics

Additional Institution or Organisation

Monash Institute of Pharmaceutical Sciences


Doctor of Philosophy

Degree Type



Faculty of Pharmacy and Pharmaceutical Sciences

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