Recursion
@RecursionPharma

Decoding biology to radically improve lives. The industrial revolution of drug discovery is here.

 SLC, London, NYC, Montreal
recursion.com
Joined July 2014
1,561 Photos and videos
Article

Towards Reasoning in Virtual Cells

tl;dr: VCR-Agent is a multi-agent system from Recursion's AI research engine, @valence_ai that can explain why a perturbation drives a particular cellular response, as opposed to simply describing the

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Full Transcript of Recursion’s Fourth Quarter Year-End 2025 Earnings Call

On February 25, 2026, Recursion reported business updates and financial results for its fourth quarter and full year ending December 31, 2025. In a related Earnings Call, Recursion CEO and President
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New Data’s Not Enough. How Recursion Is Integrating Data Layers to Advance End-to-End Drug Discovery

There are few industries as data-rich as pharma and biotech. But when it comes to AI drug discovery, the quality of the data matters – and the interconnectedness. Outdated, inaccessible, and

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Since Its Inception, Recursion has Been Building the Foundation for the First Virtual Cell

Since Recursion was founded in 2013, the company has focused on fundamentally shifting the way drugs are made using data and AI – from an emphasis on generating proprietary data using real-world

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First-of-its-Kind “Microglia Map” Could Unlock New Treatments for Neurodegenerative Diseases

Today, Recursion has achieved a $30 million milestone payment from its partners, Roche and Genentech, following the acceptance of the "Microglia Map" — a first-of-its-kind whole genome map of the

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Retracing the TechBio Story, from Image-Based Profiling to Virtual Cells

A TechBio Talks Conversation with Chris Gibson and Anne Carpenter @RecursionChris, cofounder and CEO of Recursion, has known @DrAnneCarpenter and admired her work since he was a grad student at
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Is This Model Really Better? A Call for More Rigorous Comparison Methods for AI Drug Discovery

In AI drug discovery, new machine learning (ML) models promise to do what was once unthinkable: predict a molecule's properties from its structure, potentially saving years of time and millions of

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Introducing Boltz-ABFE – accurate predictions without crystal structures in AI drug discovery

A new paper from the research team at Recursion and @valence_ai demonstrates how we’ve combined the open-source model we developed with @MIT, Boltz-2, with our own absolute binding free energy

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The Quest for Better Protein-Ligand Interaction Modeling for AI Drug Discovery

Machine learning models are helping researchers predict how a potential drug molecule might "dock" with a target protein in the body. But a recent paper in the Journal of Cheminformatics from

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From Novel Discovery to Precision Biomarkers: Using Data and AI to Deliver New Cancer Drugs

Precision oncology paired with real-world data and just-in-time enrollment strategies is the new paradigm in oncology treatment. Wider access to patient genomic data and to AI tools allows us to not
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Using AI and Automation to Improve Outcomes in Infectious Diseases

A new paper in ACS Infectious Diseases from scientists at Recursion looks at how AI and automation are being leveraged to tackle ongoing challenges in global public health by generating therapeutic

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#ThrowbackThursday: Bold Bets, Breakthroughs and Bottlenecks in AI Drug Discovery at BIO

In June, Recursion chief R&D officer and chief commercial officer Najat Khan, PhD joined a panel of industry leaders at @IAmBiotech in Boston  – including @StacieCT, Karen Akinsanya, Martha Head,
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