Keep calm and apply Bayes' Rule.

Proud to share a big step toward building systems that help us simulate and predict the behavior of cells!. GREmLN is a graph-based transformer model, designed to reason across biological data by embedding gene regulatory network architecture directly into its attention.

Fun write up by @ElliotHershberg on virtual cells.

ICML 25 paper on variational guidance for diffusion models accepted. Happy to share that our diffusion model guidance paper with @farrinsofian, @kpandey008, @felixDrRelax, and @StephanMandt on casting control for guidance as variational inference with auxiliary variables was.

Is this the greek version of Wrexham?.Go @kostascrypto !.

Of course a deeper error analysis here will eventually reveal what actually works and why, and whether it captures perturbations or just basal states very well, but I really enjoy seeing these little results and explorations.

And the result!

And Virtual Cell Platform entry:. 4/4.

And our paper:. 3/4.

Adding our model overview again:. 2/4.

Thanks to the @tahoe_ai hackathon and the amazing team that did the OODyssey work I learned sth new about our recently released Transcriptformer model: .It did well in the wild on disease-relevant, unseen (in this case cellular drug perturbation) data that they use for their drug.

RT @cziscience: TranscriptFormer is a new AI model trained on millions of cells from 12 different species, spanning 1.5 billion years of ev….

Model overview:

Paper:

Proud to share TranscriptFormer - a generative model for single-cell transcriptomics, trained on 112 million cells across 12 species spanning 1.5 billion years of evolution. TranscriptFormer is distinct in being both generative and multi-species. Built entirely on raw gene.

RT @zavaindar: long public biotech. long early stage AI and infra.

RT @nalidoust: Meet the judges & mentors for the Tahoe Deep Dive Hackathon & thanks @awscloud for offering the prize: $25K AWS credits to w….

RT @zavaindar: We're launching ACHIRA, a newco DIMENSION cofounded alongside @jchodera & @tkaraletsos. We're building foundation simulation….

I also want to point out how exciting it is to be part of two concurrent revolutions in AI in the life sciences between the virtual cell work we pioneer at @cziscience and the AI for atomistic simulations for drug discovery with Achira. Chemistry and biology are inextricably.

We are very excited for the enthusiastic support from @_DimensionCap , @AmplifyPartners , @nvidia , and @CompoundVC who are all bought in to the impact this work will bring.

Announcing . Achira will usher in the next phase of AI for drug discovery building atomistic foundation models for biomolecular simulation to harness the explosive growth of available computation and the frontiers of physics-based synthetic data