Recursion

Recursion

生物技术研究

Salt Lake City,Utah 53,048 位关注者

Decoding Biology to Radically Improve Lives

关于我们

We are a clinical-stage TechBio company decoding biology by integrating technological innovations across biology, chemistry, automation, data science and engineering to industrialize drug discovery. We are leveraging new technology to create virtuous cycles of learning around datasets to build the next-generation biopharmaceutical company. It’s complex biology, decoded. While we are united in a common mission, Decoding Biology to Radically Improve Lives, our greatest strength lies in our differences: expertise, gender, race, disciplines, experience, and perspectives. Deliberately building and cultivating this culture is critical to achieving our audacious goals. We are proudly headquartered in Salt Lake City.

网站
https://www.recursion.com
所属行业
生物技术研究
规模
501-1,000 人
总部
Salt Lake City,Utah
类型
上市公司
创立
2013
领域
Pharmaceuticals、Drug Discovery、Rare Diseases、Drug Repurposing、Inflammation、Immuno-oncology、Diseases of Aging、Phenomics、artificial intelligence、machine learning、technology、biology、neuroscience、cancer、techbio、biotech、pharma、drug discovery、platform、tech、oncology、pipeline、disease、future、innovation、nvidia、supercomputer、data和rare disease

地点

  • 主要

    41 S Rio Grande St

    US,Utah,Salt Lake City,84101

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Recursion员工

动态

  • 查看Recursion的公司主页,图片

    53,048 位关注者

    "We saw an opportunity to take the two leaders of this space, put them together and really catapult ahead of the rest of the industry." - Chris Gibson Yesterday, cofounder and CEO Chris Gibson appeared on Bloomberg Television's "The Close" to discuss the combination deal with Exscientia and why Recursion is positioned to lead the TechBio space. ? On our moat: "The real moat is the data. We generated or partnered on more than 50 petabytes of data...We’ve been making this investment in this build phase for a decade... No matter how much money you have to put into the AI space, data takes time. Cells take time to grow [and] we’re well ahead of anybody else." ? On transforming the industry: "I think there’s going to be an Amazon or an NVIDIA of the biopharma industry, and we intend for it to be us." Full episode here: https://lnkd.in/e3DyABvQ #techbio #ai #ml #pharma #drugdiscovery

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    53,048 位关注者

    The future of TechBio has arrived. Today we announce that our business combination with Exscientia is officially closed – and two world-class, clinical stage TechBio companies have become one Recursion. We’re entering a new stage, for our company and for the TechBio industry. This combination allows us to move with even greater speed, precision, and efficiency to leverage AI, automation, and scientific expertise in order to develop new treatments for patients in need. ?? Highlights: ? Pipeline: Our combined pipeline has 10 clinical and preclinical, and 10 advanced discovery programs across rare disease, infectious disease, and oncology -- an unprecedented scale achievable only through the speed and efficiency brought by our combined AI-enabled platforms. ? Partnerships: We have more than 10 partnered programs with some of the largest pharma companies in the world – including Sanofi, Roche and Genentech, Bayer, and Merck KGaA, Darmstadt, Germany – and have received approximately $450 million in upfront and milestone payments. These partnerships could yield over $20 billion in additional milestones before royalties. In our partnership with Sanofi, focused on creating best-in-class therapies in inflammation and oncology, milestones have been achieved for three programs already. In our oncology partnership with Bayer, we have 2 joint projects rapidly advancing to Lead Series nomination, and another 20+ multimodal data packages in development.? ? Platform: At Recursion, we’ve been relentlessly focused on innovating early-stage drug discovery, driven by 60+ petabytes of proprietary data, millions of automated wet lab experiments per week, and machine learning models to develop Maps of Biology capable of identifying novel targets and developing promising new drug candidates. Now, with the combination, we’ve added precision chemistry capabilities driven by AI and automation to design and test highly optimized potentially first-in-class molecules for high-interest targets. ?? How We’re Improving Pharma Averages: ? 3X Speed: Traditional pharma takes 30 months to develop a validated candidate; we’re doing it in as little as 10 months. ? 10X Efficiency: Traditional pharma produces 2,500 molecules before they find a compound for testing; we’re producing just 250 on average. ? Up to 80% Cost Reduction: Traditional pharma costs $25-$35 million to reach an investigational new drug (IND); we’re getting there for $5-$10 million. ??Learn more: https://lnkd.in/e7K5_qrQ #ai #techbio #combination #partners

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    53,048 位关注者

    It’s Tea Time at LONDON BIO. Taking place alongside the Jeffries Healthcare Conference, the Afternoon Tea on Tues., Nov. 19 will feature Chief R&D and Chief Commercial Officer Najat Khan, PhD, with Bharatt Chowrira, CEO and Board member at PureTech Health, and Sutha Satkunarajah, Senior Director of Flagship Pioneering UK aboard the historic HMS Wellington, discussing the latest in pharma and TechBio. The discussion will be moderated by Yasmin Siraj, investor at BACKED VC. BACKED VC and Jack O'Meara co-founded LONDON BIO over a year ago to bring together a diverse set of biotech and TechBio practitioners to share their personal journey and war stories in discovering, developing and scaling category-defining therapeutics. This event is currently oversubscribed. But if you'd like to sign up to be considered for the next one - you can do so here: https://lnkd.in/ewGgfnax #FutureofHealthcare #TechBio #LondonBio

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    53,048 位关注者

    Two recent posts in BioPharmaTrend.com highlight our publicly available foundation model, OpenPhenom-S/16, just launched on Google Cloud's Model Garden. 1. Andrii Buvailo, Ph.D. describes how OpenPhenom-S/16, built on microscopy data, has set a new "gold standard" for the industry, outperforming CellProfiler, as part of a story on 19 companies pioneering AI models in pharma and biotech: https://lnkd.in/eVRamQeD 2. Roman Kasianov shares additional insights -- including how the model was trained using self-supervised learning on over 3 million microscopy images from datasets like RxRx3 and JUMP-CP and can "replace traditional microscopy analysis tools that require significant tuning and struggle with large-scale datasets." https://lnkd.in/eVNKA2B7

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    53,048 位关注者

    We support C. diff patients. November is C. diff awareness month, a disease caused by the toxin-producing bacteria Clostridioides difficile that has become a rising public health threat – impacting up to 500,000 people and causing 29,000 deaths in the U.S. each year. ? Throughout the month, we’re supporting the Peggy Lillis Foundation to help raise awareness through their "See C. diff" campaign. https://lnkd.in/e_PiQi5D ? Yesterday, Salt Lake City resident and patient advocate Minnie Hatch and Recursionaut Ana Davis shared their personal stories of recurrent C. diff at our weekly All Hands. Minnie struggled for over 10 years with recurrent C. diff. As she said: “The only way to ensure a safe, secure future is to advocate for targeted treatments for C. diff and other diseases.” ? Right now, the standard of care treatment for C. diff is antibiotics – which affect the gut microbiome and can create the conditions for C. diff to recur. Finding new treatment approaches is critical for this patient population. ? On Friday, Nov. 15, 9:45am-4:30pm ET, the Peggy Lillis Foundation is holding its first Scientific Symposium – a virtual event that will feature presentations from clinicians and researchers working to better understand this disease and develop new treatments – as well as C. diff patients and survivors. ? Dr. Andrew Skinner, an infectious disease expert at the University of Utah, will present on our REC-3964 program and ALDER trial at the symposium. ?? Register for the symposium: https://lnkd.in/eAjgn5KE ?? Learn more about the ALDER trial for REC-3964: https://lnkd.in/e65YrBXC #techbio #symposium #cdiff Jeanene Fogli, PhD, RD, LDN Erica Fox

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    53,048 位关注者

    Introducing MolE -- a new foundation model for predicting chemical and biological properties directly from molecular graphs using a pre-trained model. Just published in Nature Communications by Oscar Méndez-Lucio, Berton Earnshaw and Christos A. Nicolaou, we share how this transformer-based model was trained on a massive set of ~842 million molecules in a self-supervised manner -- meaning it doesn't rely on experimental data to "learn chemistry." Once it is pre-trained, MolE can be further fine-tuned to a variety of downstream tasks -- and achieved state-of-the-art performance in 10 of 22 ADMET tasks. More details on how we built MolE - what we learned - and what it means for AI drug discovery. ??

    Introducing MolE: A New Model for Predicting Molecular Properties for AI Drug Design and Beyond

    Introducing MolE: A New Model for Predicting Molecular Properties for AI Drug Design and Beyond

    Recursion,发布于领英

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    53,048 位关注者

    On Nov. 20, join the call! Today we announced that Recursion and Exscientia shareholders have approved the proposed business combination. On Wed., Nov. 20, 7:30am ET / 5:30am MT / 12:30pm GMT, we’re holding a special update call to discuss the next chapter of Recursion after the planned close of our business combination. This is a pivotal moment for both Recursion and for the TechBio industry – bringing together two industry-leading pipelines, significant therapeutic discovery partnerships with leading pharma companies, and automated, AI-enabled platforms in biology and precision chemistry. ?? The update call will be livestreamed on LinkedIn, or tune in on:? ? X: https://lnkd.in/gn52iH5F Or ? YouTube: https://lnkd.in/gNx66QJK ? Submit your questions here either prior to – or during – the livestream: https://lnkd.in/evTuuskj ?? Learn more: https://lnkd.in/ehZE4-F7

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Recursion 共 19 轮

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US$200,000,000.00

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