Your next method ships as a skill
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Nº XCIV
- Date
- 08 Sep 2026
- Issue
- 94
- Stories
- Six
- Editor
- ARC
Today the unit for shipping a bioinformatics method quietly changed from a repository to a skill.
A bacterial epigenomics toolkit ships as an AI skill
MErlin ships as agent skill rather than a command-line package, putting a bacterial epigenomics multi-omics workflow behind plain-language requests. A skill here is a bundle of instructions plus tool calls that an assistant loads on demand, so the analysis logic stays fixed while the interface disappears. The bioRxiv preprint from I. Passeri frames it as a move from code to natural language, with the toolkit itself as the published artifact. That shifts the distribution unit for method development: a group releasing a skill hands over a runnable workflow instead of a repository someone else has to install, configure, and learn. Specialist epigenomics analysis becomes something an agent can execute on request.
Karenina scores biomedical AI on expert-written rubrics
Karenina turns expert rubrics into multi-dimensional evaluations of biomedical AI, letting specialists state what a good answer looks like along several axes instead of collapsing quality into one accuracy figure. The bioRxiv preprint positions domain expertise as an input to evaluation design rather than a manual review step bolted on at the end. That makes expert-defined scoring a buildable component, and raises the floor for what counts as evidence that a biomedical model is fit for use.
Language models plus ontologies rank rare-disease diagnoses
Ontology ranking meets language models in a learned combination aimed at rare-disease diagnosis, where candidates have to arrive as a ranked, phenotype-grounded shortlist rather than free text. The arXiv paper learns the fusion instead of hand-tuning the weight between the two signals, keeping structured ontology evidence in the loop. Narrows the gap between chat-style differential suggestions and the ranked outputs clinical genetics workflows already consume — the place that has been least willing to accept an unranked answer.
A retrospective grades five years of ML protein engineering
Machine-learning directed evolution reviewed in a five-year retrospective from Bruce Wittmann, tallying which sequence-function methods actually improved protein engineering campaigns. Gives the field a shared reference point for what the last wave of protein ML delivered.
Open Science Index gathers open tools in one place
Open Science Index launches as one searchable home for open-source tools, models, datasets, and workflows across biology, chemistry, physics, materials, and earth science. Open-tool discovery has lived in GitHub and preprint supplements; one index changes where people and agents look first.
An investor makes the case for bench robots
An investor post argues that the best target for physical AI is the bench: robots that pipette, handle stem cells, and run existing instruments. Which experimental bottlenecks get automated follows where this kind of capital lands.
Reply with your discoveries. A human reads them. Forward freely.
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