Kafka and tuberculosis Philip Fowler, 21st June 20241st July 2024 To mark the centenary of Franz Kafka’s death from laryngeal tuberculosis at the age of 40 in June 1924, the University of Oxford ran a series of events, including talks, an exhibition and a public reading of the Metamorphosis in the Sheldonian Theatre. It is believe he lived with tuberculosis for the last 7 years of his life and it likely affected his writings, including works such as The Hunger Artist. In recognition there was a public talk on 5 June 2024 entitled “Tuberculosis: vaccines, diagnostics and experience”with contributions on vaccines by Professor Helen McShane and diagnostics by Dr Philip Fowler. The highlight however was hearing the experience of someone who had been diagnosed with tuberculosis about 20 years and how, despite, surviving this ancient disease, it has profoundly affected how she lives day to day. You can watch the talk for free here 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 tuberculosis
antimicrobial resistance FowlerLab at ESM 2024 1st July 20241st July 2024 Three of us (Dylan Adlard, Dylan Dissanayake and Philip Fowler) attended the 44th Congress of… 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
New publication: BashTheBug works! 20th May 202219th July 2022 Yesterday eLife published the first paper from our citizen science project, BashTheBug, which was launched… 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