This project provides training and research on systems modeling tools and techniques of strategic interest for the pharmaceutical industry. The project is funded by EU as a FP7 Marie Curie European Industrial Doctorate scheme.
The project will develop and apply innovative modeling techniques to tackle problems at the forefront of pharmacological research permitting step-change advancements in drug development supporting EU policy on healthcare and pharmaceutical development as well as underpinning the EU’s Innovative Medicines Initiative. This will be performed through the formation of an interdisciplinary collaboration between AstraZeneca, the University of Warwick, the Swedish University of Agricultural Sciences, Uppsala University, and the Fraunhofer-Chalmers Centre.
An important aim of the project is to train Early Stage Researchers in systems modeling tools and techniques enabling them to perform ground-breaking research in the emerging field of Quantitative and Systems Pharmacology, placing Europe as leaders in this field.
In order to deliver new drugs it is necessary to quantify, translate and simulate from the test tube to the patient. This includes being able to model biological pathways, quantify relationships between dose/exposure, target engagement, efficacy and safety in pre-clinical tests and humans and utilizing all relevant information efficiently and quantitatively.
The development and application of innovative modeling techniques to tackle current problems in drug development allied to the training of researchers with skills to perform these tasks are key drivers for the partners.
The project is divided into four work packages where research problems and data are generated at AstraZeneca: Modeling dose – response time outcome relationships; Modeling Tissue (brain) target exposure; Modeling Cardiovascular Safety – Target engagement – Exposure; and Deconvolution in non-linear ordinary differential equations for Quantitative and Systems Pharmacology.
We are currently looking for candidates for PhD/Early Stage Research studentship:
Modelling Dose Response Time Outcome Relationships.
Deconvolution in non-linear ordinary differential equations for Quantitive and Systems Pharmacology.
