Antimicrobial resistance is a major global health challenge, requiring the design of smarter antibiotic treatment regimes. However our ability to do this is compromised by the fact that we still do not understand in detail how many antibiotics work. I will argue that physics has a role to play in helping with this. In particular I will present examples from our recent work where we have used statistical physics models to understand why some antibiotics work better on fast-growing bacteria while others work better on slow-growing bacteria.
Zoom
https://us02web.zoom.us/j/81497854449?pwd=QzFkZUZWQ1k5RHlsNEVkMExkRCt6Zz09
Meeting ID: 814 9785 4449
Passcode: 785113
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