Theme leads
- Maths Lead: Dr K Sharkey
- Health & Life Sciences Lead: Prof S O’Brien
Complex networks are ubiquitous in healthcare and medicine. Reliable and accurate network models are critical to understanding many aspects of human biology and disease development inside the body as well as the infectious disease propagation. The capability of a model to take care of large number of potential contributing factors and our ability to reduce network complexity to capture the most relevant factors are of vital importance in disease network modelling. We focus on the increasingly important area of AMR modelling.
Project 1 - Mechanistic models of AMR
- Academic Team (UoL): Dr K Sharkey, Prof S O’Brien, Prof F Falciani
- Clinical/Industrial Team: Liverpool Health Partners, Public Health England, Bionow.
Project 2 - Influenza dynamics and strain competition
- Academic Team: Dr J Read (Lancaster), Dr O Karpenkov (UoL), Prof F Falciani (UoL), Prof P Diggle (Lancaster)
- Clinical/Industrial Team: Public Health England
Project 3 - AMR dynamics within host
- Academic Team (UoL): Dr B Vasiev, Dr M Horsburgh
- Clinical/Industrial Team: North West Coast AHSN, Unilever
Project 1 - Typical network scenario
Project 2 - Network and graph connections
Project 3 - Modeling interactions within a cell
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