University of Cambridge > Talks.cam > Cambridge Infectious Diseases > Take two moments to gather your wits. Likelihood-free inference for within-host dynamics of bacterial infection."

Take two moments to gather your wits. Likelihood-free inference for within-host dynamics of bacterial infection."

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Tea and biscuits available from 12, talk will start at 12.15

Understanding the within-host dynamics of acute bacterial infections is vital for the development of optimised treatment and the management of drug resistance. A major hurdle has been the limited resolution of data that can be obtained during infection, especially when dealing with low numbers of bacteria. For the last 10 years, a multi-disciplinary research programme at the Department of Veterinary Medicine has developed a pioneering approach, combining “wild-type isogenic tagged strains” (WITS) of Salmonella enterica in mice with mathematical models, to quantitate the key processes that drive the early stages of infection. In this talk, I will present the latest analytical methods that our group has been exploring in order to improve statistical inference and, ultimately, help optimise experimental design. I will cover likelihood-based and likelihood-free techniques, and highlight an efficient moment-closure approach which is showing great promise.

This talk is part of the Cambridge Infectious Diseases series.

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