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Origin

@origin_bio

AI for safer cell and gene therapies

San Francisco, California Katılım Eylül 2025
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Yash Rathod
Yash Rathod@YashRathod_75·
Today, we're excited to release 10,000 fully AI-designed enhancer sequences for the research community. Axis was prompted to design sequences with targeted activity in one of three widely used cell-lines. AI allows us to explore a vast design space, going beyond the natural genome.
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Viraj Doshi
Viraj Doshi@viraj9451·
Muon can accelerate LLM training, but does that benefit transfer to regulatory DNA sequence modeling with its different data distribution? 🧬 Our results show that Muon with independent weight decay (MuonW) hits our validation perplexity target in ~37% fewer FLOPs than the best Adam configuration.
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malhar
malhar@malhar317·
It was an honor to meet PM @narendramodi and discuss the potential impact of the work we are doing at @origin_bio
Narendra Modi@narendramodi

Interacted with CEOs of AI and deeptech StartUps at Seva Teerth. They are doing commendable work across sectors such as healthcare, agriculture, space, social enterprise and more. We discussed how to leverage the potential of AI in furthering the welfare of humanity. pib.gov.in/PressReleasePa…

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malhar
malhar@malhar317·
Cell and gene therapies have the potential to offer a much higher quality of life to patients. Getting transcriptional control right is going to unlock a whole new class of them. Happy to share a small preview into Axis’ ability to design novel regulatory DNA sequences. It’s so obvious that evolution has only explored a drop in the whole ocean. Now finally with AI can we start to take a deep dive.
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Y Combinator@ycombinator

Origin (@origin_bio) is using AI to make safer cell & gene therapies for diseases like cancer. Their model designs DNA switches & dials to program precise gene expression patterns in disease cells. Congrats on the launch @YashRathod_75 and @malhar317! ycombinator.com/launches/PMG-o…

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Yash Rathod
Yash Rathod@YashRathod_75·
We're still in the early days of durable and long lasting drugs based on transcriptional control - similar to where mRNA medicines were many years ago! With AI designed regulatory DNA and millions of sequences we're lab testing, we aim to precisely program gene expression @origin_bio
Y Combinator@ycombinator

Origin (@origin_bio) is using AI to make safer cell & gene therapies for diseases like cancer. Their model designs DNA switches & dials to program precise gene expression patterns in disease cells. Congrats on the launch @YashRathod_75 and @malhar317! ycombinator.com/launches/PMG-o…

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Origin@origin_bio·
Interested in knowing more about how we beat Google DeepMind? We shared some insights on @tbpn
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Origin@origin_bio·
On TBPN live, our co-founder and CEO shares more on how we plan to use Axis to develop new age gene therapies👇
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Yash Rathod
Yash Rathod@YashRathod_75·
Going on TBPN at 1:45 pm PT to launch @origin_bio and our model, Axis. Axis is the first model that generates regulatory DNA sequences and predicts its function. Axis already outperforms DeepMind's AlphaGenome on various benchmarks!
TBPN@tbpn

Morning. On today’s show: – @karimatiyeh (Ramp) – @alexkshieh (The Antifraud Co) – @dteare (1Password) – @gilbert & @djrosent (Acquired) – @sergiynest (Quilter) – @jlopas (Base Power Co) – @ryanjdaniels (Crosby) – @zganieany (MeritFirst) – @yashrathod_75 (Origin) See you there.

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Origin
Origin@origin_bio·
We’re excited to take the model into the lab and open up public access soon! To get early access to the model, please fill out the form here: tinyurl.com/origin-axis-ac… If you enjoyed this thread and want to learn more about Axis, read our blog post: origin.bio/introducing-ax…
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Origin@origin_bio·
Natural genomes capture only a fraction of possible sequence designs permitted by underlying rules. Models like Axis explore this design space and can generate regulatory sequences that encode circuit-like logic, enabling cell type and state-specific activity.
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Origin@origin_bio·
Introducing Axis: the first AI model that generates regulatory DNA elements and predicts their function. Gene therapies suffer from poor efficacy, toxicity & specificity. Models like Axis can help overcome such risks. Axis beats Google DeepMind's AlphaGenome at predicting regulatory element binding activity by 6.7%.
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Keşfet

@narendramodi @YashRathod_75 @malhar317 @tbpn @elonmusk @BarackObama @taylorswift13 @cristiano