Third Supervisor: Kostas Stamatopoulos (GlaxoSmithKline)
This project builds on a recent collaboration among Birmingham (Chemical Engineering) and Nottingham (Medicine and Physics) and GSK. The aim is to combine computer modelling, Artificial Intelligence (AI), and magnetic resonance imaging (MRI) to design a digital analogue of the human stomach. AI will replicate the activity of the nervous system bringing “digital life” to the in-silico model that will behave like the real stomach by adapting its actions (emptying, motility) to the properties of the food (viscosity, pH, fat content) and the calory content in the duodenum. The computer model will be used to carry out a series of virtual trials to study how different drug formulations dissolve in relation to different types of meals. This information will be introduced in PBPK platforms used by pharmaceutical companies for approval by regulatory bodies like FDA and EMA. The long-term objective is to promote the design of a virtual physiological human, a computer analogue of the entire human body where new treatments, bold medical hypotheses and even disrupting ideas can be tested in a safe environment and without animal testing.
Person Specification
Applicants should have a strong background in physics and mathematics, and ideally a background in Machine Learning. They should have a commitment to research in mathematical modelling and computer simulations and hold or realistically expect to obtain at least an Upper Second Class Honours Degree in a relevant subject.
How to apply
Informal enquiries should be directed to [Email Address Removed]
To apply, please download and complete all documentation available at https://more.bham.ac.uk/mrc-aim/phd-opportunities/
AIM DTP
The MRC Advanced Interdisciplinary Models (AIM) Doctoral Training Partnership (DTP) is a multi-institutional DTP between the Universities of Birmingham, Leicester and Nottingham. You will be based at the institution of the first supervisor. More information about the DTP is here
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