antimicrobial resistance CRyPTIC datasets available through new website Philip Fowler, 25th June 20257th July 2025 The CRyPTIC project ran from 2016 to 2022 and collected >20,000 clinical samples from patients… Continue Reading
antimicrobial resistance New paper: automatically and reproducibly building a catalogue bedaquline resistance-associated variants Philip Fowler, 18th June 20251st July 2025 Dylan Adlard‘s paper describing how we can rapidly automatically build catalogues of bedaquiline resistance-associated variants… Continue Reading
antimicrobial resistance New paper: a deep learning model that reads MICs from images of 96 well plates Philip Fowler, 26th May 20251st July 2025 Our paper describing how a convolutional neural network model can determine the minimum inhibitory concentrations… Continue Reading
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… Continue Reading
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… Continue Reading
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… Continue Reading