关于我们
Exscientia is now Recursion.
- 网站
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https://www.recursion.com
Exscientia的外部链接
- 所属行业
- 生物技术研究
- 规模
- 201-500 人
- 总部
- Oxford,Oxfordshire
- 类型
- 上市公司
- 创立
- 2012
- 领域
- Artificial Intelligence、AI Drug Discovery、Tech Enabled Drug Development、Precision Medicine、Pharmaceuticals和Technology
地点
Exscientia员工
动态
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Today's update call with Recursion is available here! #TechBio https://lnkd.in/eCkwtWjm
November 20 Update Call
https://www.youtube.com/
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The future of TechBio has arrived. Today we announce that our business combination with Recursion 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: Recursion's 60+ petabytes of proprietary data, millions of automated wet lab experiments per week, and machine learning models delivering Maps of Biology have been further enhanced with our 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 ??Follow Recursion at: https://lnkd.in/gM4r28fd? #ai #techbio #combination #partners?
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On Nov. 20, join the call! On Nov. 13, we announced that Exscientia and Recursion 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 after the planned close of our business combination. This is a pivotal moment 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 chemistry. ?? The update call will be livestreamed on LinkedIn, or tune in on:? ? X: https://lnkd.in/gn52iH5F? ? 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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Don’t miss Richard J. Law, our Chief Business Officer, presenting at the Automated Synthesis Forum?next week! Rich will give an overview on the role of AI, automation and partnerships in drug discovery at Exscientia. Learn more about the event here: https://lnkd.in/e8aGrnHz ? ? #AI #Automation #DrugDiscovery?
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If you’re attending Bio-Europe 2024 today, make sure you catch Nikolaus Krall, Exscientia’s EVP of Precision Medicine on the AI panel.? Nikolaus will be discussing how AI algorithms are reshaping our landscape, accelerating the identification and development of novel therapeutics, in the session titled ‘I Have a Dream - AI for drug discovery’.? Find out more here https://lnkd.in/dnuNZ2D? #AI #AIDrugDiscovery
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Happy Sustainability Day!? At Exscientia, we're committed to minimising our environmental impact and leading the way in sustainable innovation.?Our state-of-the-art automation studio embodies this commitment and has been designed with this in mind: - Powered by 100% renewable electricity: We're harnessing the power of nature to fuel our research?? - Smart LED lighting: Efficiently illuminating our workspaces while reducing energy consumption?? - High-efficiency air source heat pumps: Optimising our energy use across all seasons? These measures not only reduce our carbon footprint, but also demonstrate our dedication to sustainable science. We're excited to continue evolving and innovating towards a greener future for drug discovery.
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At Exscientia, our research is inspired by the millions of people and their loved ones affected by breast cancer.? ?? Our scientists are dedicated to pushing the boundaries of innovation, including with our investigational CDK7 inhibitor, using AI to explore potential new therapies that could change the lives of people living with breast cancer. We believe that every breakthrough brings us closer to more personalised, effective treatments.? ?? This October, in recognition of Breast Cancer Awareness Month, we stand with the people affected by breast cancer and reaffirm our commitment to transforming the future of cancer care.? ?? #Exscientia #BreastCancerAwarenessMonth #InnovationInHealth #AIForGood #BreastCancerResearch?
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Check out Erin Aho's poster at ENA today, (Cat #414, Poster board 402) to learn more about Xcellomics, which brings together research excellence and industrial expertise to accelerate the translation of functional genomic or compound screening data into drug candidates that have the highest chances of addressing unmet clinical need.? ? To find out more, visit the Xcellomics website: https://lnkd.in/g9gPgGsS ? ? #ENASymp24 #drugdiscovery #oncology?
I am excited to present a poster entitled “Powering Rapid Translation of HTS Outputs to AI-driven Drug Discovery Programmes” at the 36th EORTC-NCI-AACR Symposium on Molecular Targets and Cancer Therapeutics. Xcellomics is a collaboration between Exscientia and the University of Oxford with the mission to accelerate the translation of novel biological discoveries into cancer drug candidates. Our poster highlights an example screen showing the process used to rapidly transition from functional genomic screens to therapeutic target ID and validation, then automated chemical hit ID. If you are attending, please stop by PB 402! #ENASymp24
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Don’t miss Rin Okumura presenting our poster at ENA today, (Cat #250, Poster board 238) showcasing the latest preclinical data for our highly differentiated LSD1 inhibitor EXS74539. The poster details the identification of PD biomarkers related to ‘539 treatment, as well as ‘539 efficacy in a preclinical AML model with limited impact on platelet levels.? ? For anyone not at ENA, you can download the poster from our website: https://bit.ly/ENA_LSD1? #ENASymp24 #drugdiscovery #oncology
I’m delighted to present our latest LSD1 inhibitor preclinical data at the 36th EORTC-NCI-AACR Symposium on Molecular Targets and Cancer Therapeutics today. Our poster highlights how combining human primary samples as a disease-relevant model system with drug perturbation experiments (transcriptomics, high-content imaging) can help identify novel PD biomarkers. Integrating multiple data levels with matched ex vivo sensitivity to '539 enhances the translational significance of these biomarkers, while preserving and understanding inter-patient variability in response to treatment with '539. In vivo experiments confirmed the upregulation of the biomarker candidates in response to '539 treatment, supporting the concept of introducing relevant model systems early in drug discovery to help provide clinically relevant preclinical data. If you’re attending ENA 2024, feel free to reach out or stop by PB238. #ENASymp24
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