Eternal skeptic, occasional optimist. AI, Bio, Chem, and side quests.

Montréal, Québec
Joined January 2015
Ever heard of Spasfon, the pink pill? It has been prescribed for more than 60 years, especially to women. The catch? Clinical evidence for many of its common uses is remarkably weak. Ep 2 of Beyond the Assay is out: enoutahi.com/blog/spasfon-fa…
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Emmanuel Noutahi retweeted
Lots of discussion at WorldADC about needing better biomarkers. Measuring target expression is not enough - we need better signatures of response, resistance, and toxicity, that map to the biological mechanism of action for ADCs
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Seeking someone to fly some prototypes from London to the US on October 18th. Too important to trust FedEx… Who is in London and wants to work on something fun, get a free flight to/from the US and a fee to make it worthwhile? Need to be referencable in my network… DM me if interested.
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If you (or your AI agents 😉) use the Datamol ecosystem, I updated datamol, molfeat, medchem and SAFE a few weeks ago: bug fixes, new featurizers, and support for latest Python and RDKit versions. SAFE also fixes some edge cases where SMILES ↔ SAFE conversion lost tetrahedral or E/Z stereo. github.com/datamol-io/
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Emmanuel Noutahi retweeted
Building predictive biology models is one of the most important scientific challenges of our time, but solving this requires new experimental biological data at an unprecedented scale. I’m pleased to announce that @GoogleDeepmind is partnering with @ChanZuckerberg’s Virtual Biology Initiative to create the multi-modal datasets needed for improved predictive biology models. I wrote recently about the need to discover how life works at many different scales, from DNA and individual proteins to living cells and whole-body health. As we learnt from AlphaFold and the Protein Data Bank, solving grand biological challenges will not be possible without high-quality open data and efforts like the @czbiohub initiative. Read the announcement here: biohub.org/news/virtual-biol… And my previous essay here: linkedin.com/pulse/understan… @AllenInstitute, @BroadInstitute, @GladstoneInst, @humancellatlas, @ProteinAtlas, @sangerinstitute, @IsomorphicLabs, @Meta
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In Boston for WorldCDx this week! Excited to share early looks into our transcriptomic foundation model with a few partners from pre-clinical to clinical. Many issues with signature robustness and cross-species transfer can be solved with AI. We're working on this.
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The submissions per month to arxiv has reached lift-off. One view is research has been meaningfully accelerated by AI and this is the effect. A cynical explanation is it's low-effort slop and preprints have lost all meaning. I really wonder how we can measure which is true.
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Choosing a drug target is one of the most consequential decisions in drug discovery. Yet the evidence is vast, fragmented, and constantly changing: making systematic assessment across thousands of targets nearly impossible to do manually. Introducing Target Atlas, agentic target intelligence powered by Biomni agents. Hundreds of AI agents search scientific literature and databases in parallel, extract evidence against defined target-assessment criteria, and synthesize it into structured, source-linked assessments. But the Atlas isn't static. Scientists can deploy Biomni agents directly to interrogate evidence, integrate private data, compare and prioritize targets, investigate new hypotheses, and carry out downstream work: from running analyses to designing binders and planning experiments. Our first disease-specific application was on Parkinson's disease, developed with The Michael J. Fox Foundation's Targets to Therapies Initiative @MichaelJFoxOrg, combining an expert-defined target evaluation framework with additional criteria and evidence collected and analyzed by AI agents. We've also extended the approach to an ever-growing set of 20+ diseases spanning oncology, autoimmune, cardiovascular, and neurological conditions, creating a systematic view of the target landscape at a scale that would be difficult to build and maintain manually. Target Atlas is available in beta today at biomni.phylo.bio — we'd love your feedback as we continue to improve it! Read more: phylo.bio/blog/target-atlas-…
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Emmanuel Noutahi retweeted
We've rebuilt the entire @AsimovPress website. We experimented with dozens of fonts and type sizes, column widths, and color palettes to find options that felt comfortable to read. JavaScript is also much easier to embed; many of our articles will include interactive elements. Footnotes, too, are now (finally!) visible in the margins.
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A generative model can look like it's working and still fail to output the disease-relevant cell groups or small molecules you care most about. Fortunately, we have techniques to diagnose and correct these failures. In our most recent Valence at the Whiteboard, Liam explains how to evaluate generative models using Precision, Recall, Density and Coverage (PRDC) to spot subtle failure modes and know what to do about them. Full video: youtu.be/teIoP92Aeow
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I am very proud of what the team at @LawZero_ is building and deeply grateful for the landmark support from the Governments of Canada and Germany that will power our next phase of growth!
We are happy to share that Canada and Germany have announced funding of up to $300 million for LawZero! This will power the next phase of our technical roadmap towards developing a fundamentally new form of advanced, safe, and capable AI. lawzero.org/en/news/lawzero-…
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Emmanuel Noutahi retweeted
Today, there's a strong focus on fast-follows of existing drugs. The drug programs that inspire me look different – the target is known, but we don't know how to build the drug, often requiring the dev of new tech that paves the path for more drugs.
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Reminder that the winner will be selected this Friday! The prize is 1 free year of ChatGPT Pro ($200 per month tier) Submissions must use the Rosalind Workbench suite of plugins (can also find them under the "Scientific Research" section of the plugin marketplace)
The Rosalind Workbench has been out for a week now - show me the coolest thing you've built with it! Coolest project gets 1 free year of ChatGPT Pro! Either comment here or quote tweet me to submit. Provide screenshots and the Rosalind plugins you used to make it happen!
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"The Machine Stops" by Forster is one of those stories that feels more contemporary every time you return to it cs.ucdavis.edu/~koehl/Teachi… Written in 1909, but it feels so current....
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In my latest op-ed for @TIME, I discuss why the OpenAI Hugging Face cyber incident represents a turning point for AI safety. If we want to prevent more autonomous cyberattacks from threatening critical infrastructure, we urgently need stronger regulatory oversight and new approaches to model training to ensure robust safety assurances by design, which is what we are tackling at @LawZero_. Read the full piece: time.com/article/2026/09/09/…
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Mathematics has now fully morphed into biology: Project costs millions $ ✅ Put out paper that nobody has read ✅ Massive paper supplement nobody will read ✅ Advertise with pretty art ✅ Vicious authorship fight ✅ Say you're curing cancer ✅
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I am throwing random tasks at GPT-6 #Astra, including #chess Too slow for blitz against humans (through computer use) even when told to play faster. In King of the Hill on @lichess, it lost to Stockfish level 7. I then lowered the difficulty to level 3, switched from default to X-high reasoning, and explicitly told it to do better and take its time thinking. It won nicely.
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🎉We won! Proud to announce that Recursion has won a @FiercePharma AI Innovation Award for AI Innovation in Drug Discovery. 💠 The award recognizes the impact of the Recursion OS which connects biology, design, and clinical development into a single AI product engine. They note that this engine is more than a collection of point solutions. “Instead of stitching together fragmented public datasets, Recursion generates its own proprietary data at industrial scale and feeds it directly back into the system.” As CEO Najat Khan says: “It enables our scientists to generate and test hypotheses at a scale and resolution that simply wasn’t possible before, uncovering novel biology and designing more precise medicines faster for patients who are waiting. And it has delivered tangible proof points – including multiple drugs advancing in our internal clinical and pre-clinical pipeline, and ongoing milestones for pharma partners.” Those proof points include REC-4881 for FAP (familial adenomatous polyposis). “REC-4881 marks the first potential treatment for the condition and the first clinical validation of the Recursion OS, backed by encouraging Phase 2 data,” they write. “The same platform also uncovered a novel mechanism for treating FAP – MEK 1/2 inhibition – and used real-world data to broaden patient eligibility for the trial.”  We’ll be presenting additional Phase 2 data from the TUPELO trial at the Collaborative Group of the Americas on Inherited Gastrointestinal Cancer (CGA-IGC) Annual Meeting in November. 🚀 We’re thrilled to have won this recognition from Fierce and look forward to continuing to demonstrate proof points from both partnerships and clinical programs. 👉 Read more: fiercepharma.com/ai-and-mach… #FierceAIInnovationAwards
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