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 that has been funded by the Ineos Oxford Institute for antimicrobial research (IOI). The project will received £5 million over three years and the main aim is to develop new therapies for multi-drug resistant tuberculosis. We will be guiding the selection of targets and leads using our large dataset of >50k clinical tuberculosis samples. Each sample has phenotypic drug susceptibility testing and whole genome data so we will be able to e.g. check there are no mutations in circulation that could lead to resistance of any new compound. I will be advertising a post to work on this project in a few months time. Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Related antimicrobial resistance clinical microbiology tuberculosis
Dylan’s bedaquline paper one of the most read in Microbial Genomics in September! 20th October 202520th October 2025 Received a lovely email from Dr Peter Cotgreave who is the Chief Executive of the… Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Read More
antimicrobial resistance New publication: Predicting resistance is (not) futile 21st August 201921st August 2019 Our “First Reactions” article has been published in ACS Central Science. We discuss the paper,… Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Read More
antimicrobial resistance New paper: a deep learning model that reads MICs from images of 96 well plates 26th May 20251st July 2025 Our paper describing how a convolutional neural network model can determine the minimum inhibitory concentrations… Share this: Share on X (Opens in new window) X Share on Bluesky (Opens in new window) Bluesky Email a link to a friend (Opens in new window) Email Share on LinkedIn (Opens in new window) LinkedIn Share on Mastodon (Opens in new window) Mastodon Read More