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AI-assisted drug discovery attracts most of the headlines, but it may be clinical development that’s most ripe for transformation through AI—especially generative AI. A new joint white paper from ZS and World Economic Forum that my colleagues Daniel Reiss, Alex Anokhin and I co-authored, looks at the promise, the peril and the path ahead for gen AI to deliver therapies faster and at a lower cost through more efficient, more equitable clinical trials. #AI #ClinicalDevelopment

AI + Healthcare= LIFE 💗 Of the many uses of AI, the most impactful, at least to me, is its ability to improve people's lives. How is Artificial Intelligence (AI) transforming healthcare today? One critical way is by revolutionizing drug discovery. By accelerating the identification of drug targets, AI enables the development of earlier, more effective treatments for patients, precisely when they need them. Here are three ways AI is changing drug discovery at AbbVie: -Mining large-scale data: Leveraging vast datasets to advance AI-driven drug discovery. -Generative AI in drug design: Utilizing generative AI to optimize the design of new drugs. -Precision medicine: Integrating AI and machine learning to ensure treatments are tailored to individual patients' needs. Together, these innovations are paving the way for a healthier future. Want to find out more? https://lnkd.in/dHgww2xW

Biologics are reshaping the bio/pharma landscape, with AI driving transformative advancements. Here are key takeaways from this year’s #PEGSBoston Summit: - AI in Antibody Development: AI is transforming predictive modeling and sequence analysis, significantly enhancing #drugdevelopment workflows. - Next-Gen Discovery Platforms: Combining AI tools with traditional methods offers comprehensive, cost-effective solutions for #antibodydiscovery. - Innovative Engineering: Advances like affinity modulation are unlocking new potentials in #antibodyengineering. Tools like LENSᵃⁱ show how integrating AI and data can propel the field forward. For a deeper dive into these insights, read our latest blog by Arnout Van Hyfte, our Head of Products and Platform. 🔗 Read the full blog post: https://lnkd.in/ewrrmQYG #BioStrandBlogs #LENSai #PEGS2024

The drug discovery process has traditionally been a time-consuming, costly, and intricate endeavor. From the initial identification of potential drug candidates to the rigorous clinical trials required for regulatory approval, it can take over a decade and billions of dollars to bring a new drug to market. However, the advent of artificial intelligence (AI) is revolutionizing this landscape, offering unprecedented opportunities to accelerate and enhance various stages of drug discovery. This article explores how AI is transforming the drug discovery process and what the future holds for this synergistic field. https://lnkd.in/eDacnHwz #AI #DrugDiscovery

In that cultural moment when ChatGPT burst onto the scene, it caught most of us by surprise. The domain of ML/NLP was reserved to the extremely technical and successful use cases were few and far between, especially in the Regulatory and Quality domains of Life Sciences. This white paper is a great read if you are looking to get caught up on the past 70 (!) years of AI development with a view to where things are going. And definitely follow Ennov for more in this space!

AI In Drug Discovery & Development Artificial Intelligence (AI) is revolutionizing drug discovery and development! 🌟 By leveraging machine learning and big data, AI accelerates the identification of potential drug candidates, predicts drug efficacy, and streamlines clinical trials. This innovative approach reduces costs, shortens development timelines, and increases the success rate of bringing new treatments to market. The future of medicine is here, driven by AI! 💊🤖 #AIDrugDiscovery #PharmaInnovation #FutureOfMedicine #HealthcareTech https://lnkd.in/gQqpBhCh

💬 AI is changing the game for drug discovery, and it's fascinating to watch this unfold. Our company's blog discusses how AI and machine learning are transforming the pharmaceutical industry. What excites me most is the potential for these technologies to make drug discovery faster, cheaper, and more precise. From reducing the time it takes to screen compounds to optimizing clinical trials—AI is proving to be a game changer. If you haven't yet, I highly recommend checking it out! What are your thoughts on the role of AI in healthcare?

#AI is helping #biopharma companies fail faster, with adaptive trial designs and predictive analytics cutting timelines significantly. Companies like Recursion, which I spoke with with for the article below, have the benefit of the one of the strongest computers in the world and can run up to 2 million experiments in silico each week, but others with less compute power can still benefit from AI. Read the article for more on how AI is being employed by Accenture and tips from Abbas Kazimi at Nimbus Therapeutics on improving your fail-fast approach. Citeline Commercial

Transform virtual drug designs into real, testable molecules faster than ever. Our AIDDISON platform combines generative AI with a global network of ready-to-ship chemicals to accelerate small molecule drug discovery. Watch the video to learn more! Request a demo: https://lnkd.in/eEa4zMWb #ai #drugdiscovery #smallmolecules

To succeed, first you need to fail... a lot. The key is to fail as quickly as possible. One of my favorite career roles was hosting a regular "fail fest" to normalize the iterative process - ideate, trial, fail, learn, ideate.... Applying this to drug development, Recursion uses one of the strongest supercomputers in the world to run millions of experiments each week on vast datasets, accelerating the learning process. More on Recursion's approach from Lina Nilsson in this thoughtful article from David Wild.