
Exscientia
@exscientiaAI
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Exscientia is now Recursion.
Oxford, UK
Joined September 2012
Join us live for our Update Call today, 11/20 at: ⏰ 5:30am MT ⏰ 7:30am ET ⏰ 12:30pm GMT Submit your questions at https://t.co/ouH3Jkgviz
docs.google.com
Thank you for your interest in submitting a question for Recursion's Update Call. Please tune in live on November 20 at 7:30 AM ET / 5:30 AM MT / 12:30 PM GMT from Recursion's X (formerly Twitter),...
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Our business combination with @RecursionPharma is officially closed and one TechBio powerhouse has emerged. Our expanded clinical pipeline, advanced preclinical programs, and partnership programs puts us on par with many mid-sized pharma companies. Meanwhile, our combined
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On Nov. 20, join the call! On Nov. 13, we announced that Exscientia & @RecursionPharma 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
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Don’t miss @drrichjlaw our Chief Business Officer, presenting at the @UK_ASF 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:
automatedsynthesisforum.com
Registration NOW OPEN Automated Synthesis Forum 2025 The 2025 Automated Synthesis Forum will be an in-person only event on the 17th and […]
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Checkout our poster at #ENASymp24 today to learn about Xcellomics - a collaboration between Exscientia and @UniofOxford with the mission to accelerate the translation of novel biological discoveries into cancer drug candidates. Learn more: https://t.co/qgAfGzxQK2
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Download our #ENASymp24 poster highlighting the latest data for our LSD1 inhibitor, showcasing 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. https://t.co/beJw8rxnxZ $EXAI
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Download our #ENASymp24 poster highlighting the latest preclinical data for our MALT1 inhibitor EXS73565, detailing the combination potential for MALT1 and BTK inhibitors in B-cell malignancies https://t.co/1mI4cU1V1n $EXAI
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We’re delighted to announce that we’ve achieved milestones for two programmes in our @sanofi collaboration, for which we’ll receive an aggregate of $15 million and are eligible for over $600 million in additional milestone payments. Learn more: https://t.co/w0y2VsZvEl $EXAI
investors.exscientia.ai
Both programmes demonstrate Exscientia’s ability to design highly differentiated, potentially best-in-class molecules Exscientia will receive $15 million for achieving these milestones and is...
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Interesting article from @GENbio including Thorsten Nowak, our VP MedChem's thoughts, on how coupling predictive modelling, automated experimentation & a multiparametric approach to drug design allows us to find potentially better drugs, more efficiently
genengnews.com
By leveraging AI, drug developers are moving beyond incremental gains in efficiency and engaging previously undruggable targets.
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We’re excited to announce that we’ll be presenting new preclinical data for both our LSD1 and MALT1 inhibitors at the upcoming ENA Symposium. Learn more here: https://t.co/mwI7urkv5d
#drugdiscovery #oncology #ENASymp24 $EXAI
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We’re delighted that Nikolaus Krall, EVP Precision Medicine, has been named as an inspiring leader in the @PharmaVoice 100 list. Nikolaus has been instrumental in the advancement of patient-first AI and the precision medicine platform at Exscientia https://t.co/X3QlaNa2bw
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Download our #BostonDOT24 poster to explore the automation of a cellular biosensor assay to allow for efficient hit compound screening. Read how automating cellular assays can potentially reduce the cost, labour and timelines for drug discovery programmes https://t.co/pppZgx37CG
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Download our #elrigdd24 poster on DepExML, our explainable ML pipeline for identifying predictive biomarkers from dependency datasets, which generates actionable insights into cancer biology & opportunities for potential first-in-class drug development https://t.co/Mlh1JQipgu
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Read our @awscloud Customer Success story to learn more about the work we’re doing together to reimagine drug discovery, through innovative Design-Make-Test-Learn cycles, integrating generative AI drug design and robotic lab automation
🔬⚕️Developing effective therapies at a fraction of the cost with #generativeAI. @exscientiaAI leverages generative AI on #AWS to reduce bottlenecks, accelerate development & revolutionize drug discovery. 👉 https://t.co/wDDOIhrhBe
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Download our #ASBMR2024 poster with the Millán Lab & @rallybio, showing for the first time that ENPP1 is a druggable target for late-onset HPP. We're currently developing an ENPP1i with improved properties compared with REV101 to address unmet need in HPP https://t.co/4C1dIwzaKy
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Download our #EuroQSAR poster to learn how SALSA – our new approach to virtual chemical space exploration – enables the efficient exploration of ultra-large chemical spaces, leading to the potential identification of novel and effective therapeutics. https://t.co/9s8CmUz6Gc
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Don’t miss our #EuroQSAR presentations next week! Our CTO @johnpoverington is giving a plenary lecture on emerging AI approaches to drug discovery & we’re presenting posters on drug-induced liver injury models & scalable active learning over synthon space https://t.co/EeHYJfr6Ke
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September is #BloodCancerAwarenessMonth – a time to highlight the urgent need to deliver new treatments to blood cancer patients. We’re harnessing our AI –driven platform to tackle some of the hardest-to-treat blood cancers by targeting the underlying disease drivers. #AI
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Read our @RSC_BMCS #NTGH24 poster to learn more about how we’re using novel AI-designed bispecifics to tackle malaria - hitting two targets simultaneously to potentially prevent resistance emerging. https://t.co/Yr7nW66xp1
#AI #DrugDiscovery #Malaria
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Read our #EUROTOX2024 poster to learn about our drug-induced liver injury models, developed with more DILI-relevant features and endpoints, for improved early estimation of DILI in potential drug candidates and to improve drug safety and attrition https://t.co/by4MSyeuZN
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