At Iambic Therapeutics we consider AI to be a great enabler for drug discovery, as we aim to use it to make better medicines for patients with a higher probability of success on a faster timeline. It is not about fully automating drug discovery but using AI to more rapidly search chemical space for a wide array of potential targets so our team can more efficiently identify promising development candidates. Thank you to Brian K. Buntz for capturing this distinction in this piece in Drug Discovery & Development. https://lnkd.in/eFcAPsYG #AI #DrugDiscovery #NVIDIAAI
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Dr Reddy's arm rolls AI&ML assisted drug discovery platform Aurigene.AI The platform is an end-to-end solution for small molecule drug discovery that will combine AI & ML capabilities with Aurigene's core expertise in synthesising and testing molecules in vitro and in vivo. It has been rolled out with an eye on accelerating drug discovery projects, from hit identification to candidate nomination, Dr Reddy's said on Wednesday. #DrReddys | #DrugDiscoveryProjects | #Aurigenecoreexpertise | #TestingMolecules | #Healthnews Read more:
Dr Reddy's arm rolls AI&ML assisted drug discovery platform Aurigene.AI - ET HealthWorld | Pharma
health.economictimes.indiatimes.com
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Who is next? Generative AI platforms drive recent drug discovery dealmaking - check out this article. The potential of generative AI models to accelerate the design of drug candidates looks set to boost the funding raised in recent years by AI-focused companies and is driving dealmaking by major biopharma companies seeking to enhance their pipelines. Will this trend continue? https://lnkd.in/gp65xGhS #biopharma #biotech #lifesciences #generativeai #artificialintelligence #genAI
Generative AI platforms drive drug discovery dealmaking
nature.com
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Exciting Developments in AI-Based Drug Discovery! This week i would like to share our newsletter highlighting innovations at the intersection of artificial intelligence and drug discovery. AI-Based Drug Discovery Tools Ver 1.0 https://lnkd.in/eVdcy_Z5
AI-Based Drug Discovery Tools Ver 1.0
aivolvebio.beehiiv.com
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What’s the major limiting factor for #AI/#ML today? And what’s the solution? The Financial Times gathered industry icons Roger M. Perlmutter (CEO, Eikon Therapeutics), Bari Kowal (SVP of Development Operations, Regeneron), and Thomas Miller (CEO and co-founder, Iambic Therapeutics), together with Benchling CEO Sajith Wickramasekara to share their predictions for the future of AI — and insights on how #pharma will get there. Check out their top takeaways from #FTPharma: https://lnkd.in/eSTGFY7g
4 key insights from pharma leaders on the future of AI
benchling.com
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Isomorphic Labs, an independent entity under Alphabet's umbrella, has embarked on research collaborations with pharmaceutical titans Eli Lilly and Novartis. These deals are to leverage Isomorphic's cutting-edge AI technologies, particularly the latest iteration of Google DeepMind's revolutionary AlphaFold protein folding software, in the pursuit of identifying and designing small molecule therapies targeting various disease segments. please follow merklepal for more tech news #ai #aiandml #artificialintelligence #artificialintelligenceforbusiness #aihealthcare #tech #linkedin
Isomorphic Labs Strikes Lucrative Partnerships with Eli Lilly and Novartis to Drive AI-Powered Drug Discovery https://buff.ly/4aKFIDk #ai #Deepmind #labs #partnership
Isomorphic Labs Strikes Lucrative Partnerships with Eli Lilly and Novartis to Drive AI-Powered Drug Discovery
merklepal.com
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All the buzz of AI/ML impact on R&D requires the infrastructure and solutions to ingest and process the data. Benchling is ready to support advanced analytics against the data model within our solutions. Are you ready for AI/ML? Benchling is!!! How can we help you?
What’s the major limiting factor for #AI/#ML today? And what’s the solution? The Financial Times gathered industry icons Roger M. Perlmutter (CEO, Eikon Therapeutics), Bari Kowal (SVP of Development Operations, Regeneron), and Thomas Miller (CEO and co-founder, Iambic Therapeutics), together with Benchling CEO Sajith Wickramasekara to share their predictions for the future of AI — and insights on how #pharma will get there. Check out their top takeaways from #FTPharma: https://lnkd.in/eSTGFY7g
4 key insights from pharma leaders on the future of AI
benchling.com
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Sidley Austin LLP has posted this interesting webcast on their "GoodLifeSci" blog. . "Stephen Abreu, Sidley partner, talks to Colin Hill, CEO and Co-Founder of AI-powered drug discovery company Aitia, about how the use of AI is revolutionizing the biotech space." Read more blog postings and subscribe to the blog here: https://lnkd.in/ezrdWvmB #ArtificialIntelligence #AI #DrugDiscovery #OncologyTherapeutics #Pharmaceuticals https://lnkd.in/e4EcRDy2
AI-Powered Drug Discovery Efforts Could Lead to New Treatments - GoodLifeSci
goodlifesci.sidley.com
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Drug development is notoriously expensive and slow, with an average cost of $1B, a timeline of 10-15 years, and a 90% failure rate in human trials. However, AI is poised to revolutionize this process. The New York Times highlights two distinct AI approaches: computation-oriented methods and highly automated rapid-iteration labs. I've previously discussed MIT's breakthroughs in using AI to identify new antibiotics. Now, the NYT article sheds light on Terray Therapeutics, which employs a lab-on-steroids approach. Terray's highly automated labs generate and test millions of small-molecule drug candidates daily, producing 50 terabytes of raw data. This data-driven method aims to accelerate drug development significantly. Despite these advancements, candidate drugs still need to undergo human trials, so the true impact of these innovations will be seen in the next decade.
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Transform Your Drug Discovery Process with Wisecube’s #Orpheus! 💊 🔬 Are you ready to revolutionize your approach to drug discovery? Learn how Wisecube's Orpheus is redefining the research with groundbreaking #AI technology. 🧬 Orpheus, a cutting-edge 3D convolutional neural network, leverages a vast biomedical knowledge graph to predict molecular fingerprints, suggest alternative compounds, and enhance lead optimization with unparalleled accuracy. 💡 Experience the future of drug development: rapid compound identification, AI-powered predictions of bioactivity, and comprehensive ADMET property analysis. 🌟 Join leading organizations like the #IDRI (Infectious Disease Research Institute), who have already harnessed Orpheus to overcome challenges and accelerate their drug discovery process. 📊 Dive into our latest success stories and understand how Orpheus can transform your research endeavors. 👉 Don't miss this opportunity to be at the forefront of therapeutic innovation. Visit our website to learn more, and schedule a demo today to see Orpheus in action! Discover Orpheus Now >> https://lnkd.in/eriXwQzZ #DrugDiscovery #DrugDevelopment #DrugDesign #AIDrivenResearch #BiomedicalResearch #GraphAI #Biomedical #Biopharma #Biotech #Biomedicine
Revolutionizing Drug Discovery: The Impact of Orpheus in Drug Development
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Top Linkedin Creator - Talent Acquisition Expert specialized in recruitment - Pharma, Tech, IT Services , Healthcare innovation, Biometrics , Finance
Revolutionizing Drug Discovery: 15 AI Companies to Watch in 2024 #pharma #AI #drugs 1. Atomwise: Revolutionizing Virtual Screening 2. BenevolentAI: AI-Driven Drug Discovery 3. Insilico Medicine: Aging Research and Drug Discovery 4. Recursion Pharmaceuticals: AI-Powered Drug Repurposing 5. Molecule AI: AI-Powered Drug Design Platform 6. Numerate: Precision Chemistry with AI 7. TwoXAR ( ARIA ): Accelerating Preclinical Development 8. Deep Genomics: AI for Genomic Medicine 9. Recce Pharmaceuticals: AI-Enhanced Antibiotics 10. Biosymetrics: Integrated Data Analytics 11. Ardigen: Immunotherapy Advancements with AI 12. Cyclica: Polypharmacology and Network Pharmacology 13. Healx: Rare Disease Drug Discovery 14. BioXcel Therapeutics: Pharma AI for Drug Development 15. Strateos: Robotic Cloud Labs for Drug Discovery
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Supporting Pharma Companies to accelerate their research intelligence in Drug Discovery
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