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SUMMARY; CHARSET=UTF-8 :Quantitative Approaches to Antimicrobial Resistance: QAMR2025
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URL:http://www.exeter.ac.uk/events/details/?event=14503
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DTEND;VALUE=DATE:20250408T235900
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ORGANIZER: MAILTO:r.e.beardmore@exeter.ac.uk
ATTACH: http://www.exeter.ac.uk/events/details/?event=14503
DTSTAMP:20241206T123242
LOCATION:Amory Building C502
DESCRIPTION; CHARSET=UTF-8 :This meeting will focus on applications of machine learning, artificial intelligence, mathematical & statistical modelling, imaging & technology development applied to questions from molecular genetics, strain libraries, evolutionary genomics, clinical phenomics (eg MIC datasets), PKPD and phage to try and understand, and hopefully help mitigate, the evolution of antibiotic resistance.http://www.exeter.ac.uk/events/details/?event=14503
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