Pandemic Preparedness Latest dispatch
For the first time in an Ebola response, WHO and Flowminder are using anonymised mobile-phone data and modelling to predict where Congo's Bundibugyo outbreak will spread next. An early test called all ten hotspots. Here is what it means for pandemic preparedness.
Everything else from the field.
Google DeepMind's AlphaGenome Atlas precomputes the molecular effects of all 9 billion single-letter human DNA changes and offers them free in a browser. What it does, why it matters, and where it falls short.
Stanford's SPHERE turns locked biomedical datasets into shareable 'synthetic twins' for AI, and opens an Alzheimer's cohort to prove it. The promise, and the caveats.
OpenEvidence's Darwin is the first medical AI to score 100% on MedQA, yet the company is withholding it over biosecurity risk. The claim, and its caveats.
AI in 2026 is moving past ageing clocks that spit out a single number towards foundation models that reason about biological age, predict disease and nominate targets. Here is what changed and why it matters.
German scientists used generative AI to design Synthetic Transfer Vehicles, protein shells that carried RNA into cells more efficiently than the lipid nanoparticles they tested and delivered a CRISPR edit in a pig.
BiteNetI, a new deep-learning model, out-predicts AlphaFold 3 at finding protein metal-ion binding sites, a blind spot for today's protein language models.
Artificial intelligence is moving from the lab into the working machinery of pandemic preparedness, from spotting risky viruses in genetic data to scanning the world's news for early signals. Here is what it can and cannot do in 2026.
Scientists mutated every letter of the ΦX174 phage genome and measured the result. Top AI models predicted it only moderately well, a reality check for AI biology.
A Johns Hopkins team built an AI agent that screened 201,064 studies for a suicide-prevention meta-analysis, cutting human workload by 99% at under half a cent per paper. Here is what the preprint actually shows, and where it falls short.
Google Research has released the planetary prediction engine, an AI agent that builds geospatial models from a plain-language question. It was tested on a live Ebola outbreak. Here is what the numbers actually show, and what they do not.
The first blinded, wet-lab-validated benchmark for AI antibody design just landed in Nature Biotechnology. Here is what the models got right, and wrong.
A new bioRxiv preprint, Prot-LAMBDA, teaches protein language models explicit 3D geometry and reportedly matches a model five times its size. Why efficiency, not scale, is the real story.
A Nature Medicine study trained AI on 25,712 human tissue slides and found that organs keep separate biological clocks. Some of that signal shows up in a blood sample. What it means, and what it does not.
The EU's science service studied 480 biological AI models and found a gap between scientific brilliance and real-world readiness. Here's what the JRC report says and why it matters.
GenBio AI's AIDO Cell is a 'world model' that simulates a human cell across scales, from DNA to shape. Here's what it does, why it matters, and what still needs proving.
As Congo's Bundibugyo Ebola outbreak hits record size, an AI-assisted model estimates the true toll may be up to triple the confirmed count.
RAND says no single safeguard can stop AI-assisted bioweapons, and lays out nine layered defences. Here is what the report argues, why it lands now, and where it is still guesswork.
A new Science Advances study uses a protein language model to annotate enzyme 'dark matter' in the gut microbiome, mapping metabolism in health and inflammatory bowel disease.
Anthropic published a wet-lab-validated protein binder result on 18 August 2026, then disclosed an 11-month biosecurity classifier gap. The two stories together explain why the world's most capable protein designer is also the one most locked out of virology.
