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Predicting antibiotic resistance de novo

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Fowler Lab
Fowler Lab

Predicting antibiotic resistance de novo

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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SARS-CoV-2 pipeline live on EIT Pathogena

Philip Fowler, 28th January 202528th January 2025

Back in the SARS-CoV-2 pandemic we worked closely with ORACLE Corp to build and deploy…

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Updated preprint: A validated cloud-based genomic platform for co-ordinated, expedient global analysis of SARS-CoV-2 genomic epidemiology

Philip Fowler, 23rd January 202528th January 2025

In August 2022 seven laboratories across the world uploaded their SARS-CoV-2 genetics files for processing…

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Dylan Adlard is an SSI Fellow!

Philip Fowler, 15th January 202515th January 2025

Congratulations to Dylan Adlard for being appointed a Fellow with the Software Sustainability Institute for…

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