Out today in @cellpressnews: "A world model of the virtual cell," from our co-founders @ericxing and @dasongle.
Their definition of a virtual cell is a stateful, multi-modal, multi-scale simulator, judged on whether it stays coherent across a sequence of interventions.
Open access: cell.com/cell/fulltext/S0092…
A model that makes one prediction and resets only captures a snapshot. AIDO Cell holds the cell's state: perturb it, read it out, then further experiment on the cell you just changed.
@DrugDiscovNews on where the virtual cell came from, what's left to prove and how world models are redefining cellular simulation: drugdiscoverynews.com/what-i…
Join the waitlist for early access: genbio.ai/waitlist/
AIDO Cell is in @statnews this morning. AlphaFold predicts the structure of a single protein; AIDO Cell predicts how the machinery of an entire cell responds when you knock out a gene or add a drug.
Story (STAT+): statnews.com/2026/08/18/davi…
Technical report and demo: genbio.ai/aido-cell-simulato…
AIDO Cell is the first step toward AIDO, an AI-Driven Digital Organism.
Blog and early access waitlist: genbio.ai/aido-cell-simulato…
This is a preview. The case studies in the technical report reproduce established biology. It shows multi-scale stateful simulation works. It is not a finished high-fidelity model of any one cell line. Expect even more capable versions through the rest of this year and into next.
A cell isn’t one layer. DNA is read out by regulatory networks that decide which genes turn on, that RNA is transcribed and spliced into isoforms, translated into protein, and proteins move to their compartments and do their jobs — and the whole cell changes shape and behavior as a result.
GenBio AI researchers' new Perspective paper in @NatureMedicine lays out a blueprint for a simulator of biology: the AI-Driven Digital Organism (AIDO), a system of integrated multiscale foundation models spanning every scale, from molecules to cells to individuals.
Not siloed predictors but a connected, hierarchical system: central-dogma sequence FMs, 2D positional encodings, and differentiable computation graphs propagating information bidirectionally across scales. The endpoint is a world model of biology: condition on a state, apply an intervention, roll out counterfactual trajectories.
Read the paper: nature.com/articles/s41591-0…
Today at 12 pm in #ICML2026 Hall B2: @dasongle’s will present a novel architecture for a virtual cell world model - one that enables simulated cells as an end-to-end platform: from actionable biological prompts to anticipated outcomes at all levels (molecular, structural, interactional, and morphological) in a fully aligned, integrative, multi-modal, and multi-scale fashion.
More details:
icml.cc/virtual/2026/80215
Replying to @icmlconf
@icmlconf is the field's leading venue for machine learning research. Next week, GenBio AI will be on-site speaking on virtual cell world models. Where to find us in Seoul, July 6 to 11. All times local.
Monday July 6, 4:00 PM, Hall B2 Co-founder and CTO @dasongle presents "A World Model of the Virtual Cell" in the AI for Science Expo Workshop.
Monday July 6, 6:30 PM, Hall B2 Le’s panel will break down foundation models and agentic systems for closed-loop discovery.
Saturday, July 11, from 8:00 AM, Room 317 Le co-organizes the 3rd Workshop on Multimodal Foundation Models for Life Sciences. Come find the team at #ICML2026
Months of research compressed into days. That's the promise of virtual cell world models. GenBio AI Co-founder & CTO @dasongle breaks down how we're building them and what it means for drug discovery. Full piece by @jennschenker in @theinnovator here: x.genbio.ai/EI7RMW
🧬 Excited to announce our collaboration with @NVIDIA to accelerate virtual-cell world models!
Our agentic system VCHarness autonomously builds, tests, and refines AI models of human cells, discovering novel architectures in days, not months.
Together, we're shortening the path to drug discovery. 🔬 👉 genbio.ai/advancing-agentic-…
What should a virtual cell actually be able to do?
Our latest paper argues it should work like, and functionally be, a world model for cellular biology: a system you can run experiments on, apply multiple perturbations in sequence and trace how the cell moves from one state to the next across every scale, molecular to cellular, rather than a model that predicts a single readout, on a single biological scale, at a single point in time.
@peterottsjo broke down five of the core ideas in his excellent newsletter BAIO. Worth a read:
x.genbio.ai/NVpMIX
🧬 GenBio AI is heading to #BIO2026 by @IAmBiotech, the world's largest biotech gathering!
Connect with Head of Business and Corporate Development Aaron Lifland in San Diego, June 22–25.
Learn more: convention.bio.org/
Come to #BIO2026 with more than a badge - come with a calendar full of productive 1:1 meetings. BIO Partnering™ connects you to the people who can move your work forward. Start scheduling: convention.bio.org