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Predicting antimicrobial resistance

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Fowler Lab
Fowler Lab

Predicting antimicrobial resistance

Category: clinical microbiology

clinical microbiology

ESM Annual Congress 2026

Philip Fowler, 26th June 202626th June 2026

Earlier this week the 46th Annual Congress of the European Society of Mycobacteriology was held in Verona,…

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clinical microbiology

New paper: Addressing pandemic-wide systematic errors in the SARS-CoV-2 phylogeny

Philip Fowler, 9th February 20269th February 2026

Zam Iqbal, at the University of Bath, led this epic study published today in Nature…

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antimicrobial resistance

New paper: how well can we predict AMR in tuberculosis samples?

Philip Fowler, 16th December 202516th December 2025

This paper just published in Microbial Genomics examines how well our software tool, gnomonicus, predicts…

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antimicrobial resistance

New preprint: Predicting pyrazinamide resistance in M. tuberculosis using a graph convolutional network

Philip Fowler, 29th October 202530th October 2025

In previous work we’ve used “traditional” machine-learning approaches, like XGBoost, to learn and therefore predict…

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antimicrobial resistance

New paper: What can subpopulations tell us about rifampicin resistance?

Philip Fowler, 14th October 202514th October 2025

Last Thursday this work which we’d previously preprinted looking at looking at rifampicin-resistant subpopulations in…

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antimicrobial resistance

New preprint: rapidly and reproducibly building resistant catalogues for M. tuberculosis

Philip Fowler, 3rd October 202530th October 2025

The CRyPTIC project carried out many exciting research projects but it never quite got around…

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