Virology Latest dispatch

Could AI Have Called the Worst Ebola Outbreak in Years?

A new preprint tests whether computational and AI forecasting models could have predicted the 2026 Bundibugyo Ebola epidemic in DR Congo before it became one of the largest on record. Here is what the models got right, what they missed, and why it matters for outbreak science.

11 min read Editorial Desk

Read the dispatch

More Observations

Everything else from the field.

When the Machines Start Doing Bioethics Too

The August 2026 American Journal of Bioethics issue confronts AI agents moving into clinical and research operations, and asks an uncomfortable question: what happens when those same agents start doing the work of bioethicists?

AI Foundation Model Maps Cancer Tissue: VirTues

VirTues, a new foundation model published in Nature, learns one shared representation of spatial proteomics data across marker panels and imaging platforms—and finds biomarkers that predict immunotherapy response.

Ebola's 100-Day Test: The Bundibugyo Vaccine Sprint

The Bundibugyo Ebola outbreak is now the largest in DRC history. With no licensed vaccine, three candidates have reached human trials in weeks — a real-world stress test of the 100 Days Mission, AI-assisted drug discovery and outbreak modelling.

The Test Said No, The Sequencing Said Yes

Genome sequencing published this week places the virus behind Central Africa's fastest-growing Ebola outbreak on a distinct branch of the Bundibugyo family tree — with an evolutionary signal nobody expected. Here is what that means for diagnostics built on the wrong prior, and where AI-assisted sequencing genuinely helps.