Philip Bejon

@philipbejon.bsky.social

Director @modmedmicro.bsky.social; Previous Director @kemri_wellcome; Researcher on vaccines, malaria, viruses; Clinical Microbiologist, Infectious Disease, General Medicine

"[...] as of May 27, 2026, approximately 280–2520 cases of Bundibugyo virus disease might have occurred in [DRC] (estimate range 306–2521 with the back-calculation model and 282–1345 with the geographical spread model); however, there is considerable uncertainty around these estimates."

And our DNA detective programme was a smash🕵‍♀️ Follow the bioinformatic instructions to figure out which patient in a ward has which infection, and work out from the hints which drugs will help the patient get better!

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Everybody loved the strawberry DNA extractions!🍓 Participants learnt how this technique can be used by scientists to diagnose infections in patients and the data used by doctors to see if the infection has any resistance and then choose which antibiotics to prescribe🧬 @oxfordbrc.bsky.social

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Today, Coefficient Giving is launching the Strep A Vaccine Fund, a multi-donor initiative to accelerate vaccine development against one of the world's most neglected infectious diseases relative to its scale. Strep A kills ~639,000 people a year. There is no vaccine. I think that can change 🧵

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🎓Congratulations to Dr. Fatuma Guleid on successfully defending her PhD thesis! Her research explores how knowledge translation can be reframed to strengthen evidence-informed health policy making in Kenya. Fatuma was supervised by Prof. Edwine Barasa, Dr. Jacinta Nzinga & Prof. Gilbert A. Abiiro.

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For decades, the Programme has led malaria research, generating evidence, shaping policy, and driving progress. This upcoming #WorldMalariaDay, we reflect on impact, progress, and priorities ahead to move closer to a malaria-free future. As captured by leading malaria researcher Prof. Bob Snow:

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"We find that current LLMs are unreliable delegates: even frontier models corrupt an average of 25% of document content over long workflows, with sparse but severe errors that silently compound over time." 👉"Silently" arxiv.org/abs/2604.15597

LLMs Corrupt Your Documents When You Delegate

Large Language Models (LLMs) are poised to disrupt knowledge work, with the emergence of delegated work as a new interaction paradigm (e.g., vibe coding). Delegation requires trust - the expectation t...

arxiv.org