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
antimicrobial resistance New preprint: rapidly and reproducibly building resistant catalogues for M. tuberculosis 3rd October 202530th October 2025 The CRyPTIC project carried out many exciting research projects but it never quite got around… 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
SARS-CoV-2 pipeline live on EIT Pathogena 28th January 202528th January 2025 Back in the SARS-CoV-2 pandemic we worked closely with ORACLE Corp to build and deploy… 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 preprint: Predicting pyrazinamide resistance in M. tuberculosis using a graph convolutional network 29th October 202530th October 2025 In previous work we’ve used “traditional” machine-learning approaches, like XGBoost, to learn and therefore predict… 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