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 data freeze in April 2020. The consortium takes a difference approach to that of (i) mapping the reads, (ii) look up the genetic mutations in a catalogue and (iii) return the predictions and instead trained a tree-based extreme gradient-boosted machine learning model. Since the minimum inhibitory concentration (MIC) was the label, the appropriate metrics are exact and essential agreement which mean “get the same MIC” and “get within one doubling dilution of the MIC”. The essential agreement is good for some drugs like ethambutol which have moderate sensitivities using the traditional binary approach which is expected due to their MIC distribution being almost unimodal. Also the good performance of the fluoroquinolones suggests that the model is able, in part at least, to learn the presence of minor alleles / subpopulations which we have shown elsewhere to be important for this class of drugs. But seriously: one figure and three tables? All those numbers in tables aren’t exactly easy to read and what I do I put for the thumbnail? (PWF can say this as technically he is an author and therefore it is partly his responsibility and therefore fault). Share this:Twitter Related antimicrobial resistance clinical microbiology publication tuberculosis
antimicrobial resistance Diagnosing antibiotic resistance: future trends? 23rd April 20175th August 2018 It is Sunday, I’m in Vienna at the European Congress of Clinical Microbiology and Infectious… Share this:Twitter Read More
clinical microbiology New preprint: processing 3.9 million SARS-CoV-2 samples to make a consistent phylogenetic tree 7th May 20247th May 2024 Martin Hunt, Zam Iqbal and lots of others have written an epic preprint where they… Share this:Twitter Read More
antimicrobial resistance BashTheBug.net Beta Testing Results 5th April 20175th August 2018 Zooniverse have finished beta-testing my BashTheBug citizen science project. To verify that the task is… Share this:Twitter Read More