Resse Hsu on LinkedIn: How AI is Revolutionizing Drug Discovery (2024)

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Meta Llama 3 Drug Discovery Generative AI Assistant – DevelopmentsDiscover how ChemicalQDevice’s Meta Llama 3 and ChemCrow Agent are revolutionizing drug discovery with AI technology. Learn about their functions, technology, benefits, and potential impact in this detailed review. #AI #DrugDiscovery #MetaLlama3 #ChemCrowAgent #QuantumAIREAD MORE...https://lnkd.in/g7DaHBZG

An overview of the status of AI in drug discoveryhttps://ow.ly/vetc50Qth5Xhttps://ow.ly/ZzOY50Qth5Y#ai #drugdiscovery

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Read our latest post from our CTO Jason Rolfe on how generative AI can deliver novel hits and leads beyond screening.

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The advantages of AI are too many to be ignored: high efficiency, speed in processing data, capacity to continuously improve, skill to solve complex problems and the ability to generalize experience, acquiring features from the reality. AI must be in support of the patient that becomes himself the centre of his well-being through the improvement of the 4P model of medicine: Preventive, Predictive, Participatory and Personalized. #ai #insilicomedicine #drugdiscovery

Skeptical about the generative AI for small molecule hit discovery? We explore its power compared to conventional high-throughput screening in our new blog post. You might be surprised how effective machine learning can be on this challenging problem.

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#GenAI for small molecule #DrugRnD is definitely the next wave of innovation in Pharma ... now, only time will tell which one will work. But i always like the following metaphor: "why designing super sophisticated algorithms to look for a needle in a haystack when, instead, you can design the perfect needle (and get rid of the haystack)?"

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Seven AI/ML for Life Sciences Companies Identified as Innovators in New Clarivate Companies to Watch ReportRapid acceleration in IP creation and scientific knowledge drives growing acceptance of AI and ML in drug discovery and developmentUnited States and Mainland China continue to lead innovation and remain at the forefront of AI technology advancement for drug discoveryClarivate Plc, a global leader in connecting people and organizations to intelligence they can trust to transform their world, today released its annual Companies to Watch report. This year’s report identifies seven innovators trying to change the drug discovery and development paradigm by utilizing innovative artificial intelligence (AI) and machine learning (ML) technologies. Drawing on data and analytics from BioWorld, published by Clarivate, paired with analysis of drug benefits, financing, R&D activity and more, this report explores why Clarivate believes these innovators stand out and what makes them companies to watch.full article:https://lnkd.in/dQkDs_VJ#Clarivate #CompaniesToWatch #AI #ML #LifeSciences #DrugDiscovery #Innovation #PatentActivity #BioWorld

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Traditional methods for finding new drugs are slow and expensive. AI-powered platforms are changing the game by analyzing massive datasets, identifying promising candidates, and predicting success rates - all at an accelerated pace. This offers exciting possibilities for faster development of life-saving treatments. However, challenges like data quality and ethical considerations remain. Collaboration between AI experts and healthcare professionals is crucial to ensure responsible use of AI in shaping a healthier future.➡ https://lnkd.in/gaBxqMw6#drugdiscovery #AI #healthcare #futureofmedicine #artificialintelligence #aiinpharma #pharmaindustry

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Imagine if insights and understandings could be revealed in silico, an environment that is much less resource-intensive than in vitro and in vivo environments. If you’re imagining this, then you’re imagining a future where we are creating targeted, innovative drugs at much-reduced costs and getting them to market to the patients who need them much faster.

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