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… Continue Reading
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… Continue Reading
New preprint: validating antibiotic resistance prediction in our Myco pipeline Philip Fowler, 9th November 202413th January 2025 Over the last 18 months or so we’ve been designing, coding and testing a Mycobacterial… Continue Reading
antimicrobial resistance New preprint: predicting rifampicin resistance Philip Fowler, 16th August 202416th August 2024 In this preprint we train a series of machine learning models on protein mutations found… Continue Reading
antimicrobial resistance New paper: Quantitative drug susceptibility testing for M. tuberculosis using unassembled sequencing data and machine learning Philip Fowler, 14th August 202414th August 2024 This is the last paper from the initial set of CRyPTIC publications following the project’s… Continue Reading
antimicrobial resistance Updating the Grammar for Antimicrobial Resistance Catalogues Philip Fowler, 18th July 202418th July 2024 This blog updates an old (and now out of date) post describing the grammar we’ve… Continue Reading