Alex Zhavoronkov’s Post

Here's a simple rule in today's generative AI world: validation is the unavoidable key point on the path to success. After we bridged the intersection of the two major fields in drug discovery through AI, a big challenge arose. Once you scale up and try to utilize AI for drug discovery, you definitely need a different set of expertise. You need a group of drug hunters who can filter and analyze the results produced by AI, and make the final leap. At the center of this group is Dr. Feng Ren. Under his leadership, we have combined the best of artificial intelligence and human intelligence. In this video, we revealed the real-time demo of our biology and chemistry AI platform, which has provided a comprehensive AI-powered end-to-end solution for drug discovery. That allows essentially anyone with the tool to streamline the drug development process, reducing time and cost while increasing the success rate. #GenerativeAI #AIDrugDiscovery #DrugDiscoveryInnovation

At the Future of Britain Conference 2024, Tony Blair asked Google DeepMind CEO Demis Hassabis about AI's impact on history and innovation. Hassabis likened AI to the Industrial Revolution or the advent of electricity, stressing its transformative potential. He highlighted AI’s role in accelerating scientific discovery and improving public services like the NHS through personalized medicine and drug discovery. Hassabis also discussed the need for further innovations to achieve artificial general intelligence and advocated for the UK to lead in AI cooperation and governance. https://lnkd.in/exG73_72 #AI #Innovation #FutureTech #DeepMind #FutureOfBritain #AIRevolution #TechLeadership

Exciting Insights from Bryan Hill CTO at Cognizant! Discover the game-changing potential of AI in revolutionizing drug development and market launch processes in the life sciences industry. Bryan Hill sheds light on how generative AI can slash years off the typical drug development timeline, translating into faster treatments and revenue opportunities. Key takeaways: Generative AI accelerates research & development by up to 50%, streamlining literature review processes and uncovering new pathways for exploration. Clinical trial protocol writing can be automated, reducing months of work to mere days with the help of AI-generated drafts. Launching therapies in secondary markets becomes more efficient, saving time and resources through automated strategy development and content adaptation. Ready to take the first steps towards AI integration? Bryan emphasizes fostering AI literacy and building partnerships to navigate this transformative journey successfully. Join the life-saving revolution with generative AI! #LifeSciences #AIInnovation #DrugDevelopment https://lnkd.in/eNRHPKZu

I highly recommend this podcast for anyone curious about what we do at Isomorphic Labs, or anyone interested to learn more about the potential of ML for drug design.

The Rise of AI in Drug Discovery The life sciences industry is embracing AI in a big way. This technology is revolutionizing drug discovery by accelerating research and development. How else do you think AI will influence the industry in the future? #LifeSciences #AI #DrugDiscovery

Have you met Hiro, our AI assistant for IP and R&D? We're taking it to the next level by bridging the gap between biopharma and AI. Our newest solution is transforming scientific discovery by helping scientists unlock the potential of their data with generative AI. Tune in on July 18th to learn how Patsnap Hiro is transforming the future of drug R&D. #AI #drugdiscovery #lifesciences #innovation #AskHiro

The use of AI and ML in drug discovery has the potential to be revolutionary. The Cambridge Structural Database (CSD) is a trusted and high-quality resource that can help drive the AI drug discovery revolution and ensure the quality and trustworthiness of data. Join this upcoming webinar to explore: ✔️The evolving reality of AI/ML in drug discovery. ✔️The value of high-quality, curated data, and why the CSD is trusted globally. ✔️How AI can help the pharma industry.  📅Thursday, 25 July - 4 p.m. (BST) 🔗https://lnkd.in/e3_KSj9e #AI #drugdiscovery #CSD #lifescience

Great to catch up with Lee Maw, Subroto Mukherjee and Bradley Quinn on how companies in the life sciences industry are driving innovation in with AI. Here’s a few of the key points that we covered; 👩🏽💻Data quality is paramount. Without accurate and reliable data, AI models cannot deliver meaningful or impactful results. ⚖️ Ethics matter. In all industries, particularly life sciences, prioritising patient safety, privacy, and fairness in AI algorithms and decision-making is crucial. 📜 Regulation is evolving. The regulatory landscape will play a critical role in determining how AI can be responsibly and effectively deployed. Life sciences is truly a unique and exciting space for AI, and I’m looking forward to seeing how progress in this area changes the way we live. 🚀 #AI #LifeSciences #DataQuality #AIethics #AIRegulation https://hubs.la/Q02N09jK0

Excited to hear Isomorphic Labs and Weights & Biases talk about #machinelearning and #AIdrugdiscovery!

Hi everyone, I did a review paper in 2021 exploring the role of AI, Machine learning, and Automation in Drug Discovery and development. I would appreciate if you could take out the time to go through it once https://lnkd.in/e_sSnfhs #ai #drugdevelopment #drugdiscovery #machinelearning #automation #reviewpaper