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Predicting antibiotic resistance de novo

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Fowler Lab
Fowler Lab

Predicting antibiotic resistance de novo

Category: antimicrobial resistance

antimicrobial resistance

New preprint: looking at rifampicin-resistant subpopulations in clinical samples

Philip Fowler, 10th April 202510th April 2025

Since clinical samples are usually grown in a MGIT tube for a while before some…

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New grant: Ox4TB

Philip Fowler, 17th March 202517th March 2025

Very pleased to announce that I am a co-investigator on the recently announced Oxford4TB project…

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antimicrobial resistance

Can medical microbiology become a big data science? Lessons from CRyPTIC

Philip Fowler, 11th March 202511th March 2025

The CRyPTIC project ran from 2017 to around 2022 and in that time collected over…

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New preprint: a deep learning model that can read 96-well broth micro dilution plates

Philip Fowler, 23rd February 202523rd February 2025

The CRyPTIC project used bespoke 96-well broth microdilution plates to measure the minimum inhibitory concentrations…

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New preprint: automatically building a better bedaquiline catalogue

Philip Fowler, 31st January 202531st January 2025

A catalogue recording whether individual mutations confer resistance or not to specified antibiotics is a…

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New preprint: comparing different genetics analysis pipelines for tuberculosis

Philip Fowler, 13th January 202513th January 2025

Ruan Spies has done a careful systematic comparison of the current genetics pipelines that purport…

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