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Eli Lilly launches platform for AI-enabled drug discovery
Sept 9 (Reuters) - Drugmaker Eli Lilly (LLY.N), opens new tab said on Tuesday it is launching an artificial intelligence and machine learning platform that provides biotech companies access to drug discovery models trained on years of its research data. Drug developers are increasing adoption of AI technologies for discovery and safety testing to get faster and cheaper results, in line with an FDA push to reduce animal testing in the near future. Lilly's platform, TuneLab, consists of AI models which include proprietary data obtained at a cost of over $1 billion. "Lilly TuneLab was created to be an equalizer so that smaller companies can access some of the same AI capabilities used every day by Lilly scientists," said chief scientific officer Daniel Skovronsky. Privately held companies Circle Pharma and insitro said they are partnering with Lilly to develop cancer therapies and small molecule drugs, respectively. Reporting by Christy Santhosh in Bengaluru; Editing by Harikrishnan Nair and Krishna Chandra Eluri Our Standards: The Thomson Reuters Trust Principles., opens new tab
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Eli Lilly Meshes AI With Drug Research, Touts $1B Worth Of Research Data - Eli Lilly (NYSE:LLY)
Eli Lilly and Co. LLY on Tuesday launched Lilly TuneLab, an artificial intelligence and machine learning (AI/ML) platform that provides biotech companies access to drug discovery models trained on years of Lilly's research data. Eli Lilly estimates that this first release of AI models includes proprietary data obtained at a cost of over $1 billion. "Lilly has spent decades building comprehensive datasets for drug discovery. Today, we're sharing the intelligence gained from that investment to help lift the tide of biotechnology research," said Daniel Skovronsky, chief scientific officer and president, Lilly Research Laboratories and Lilly Immunology. Lilly TuneLab is powered by Lilly's comprehensive drug disposition, safety, and preclinical datasets, which represent experimental data obtained with hundreds of thousands of unique molecules. Also Read: Eli Lilly's Jaypirca Surpasses Chemoimmunotherapy For Untreated Blood Cancer Patients In return for access, selected biotech partners contribute training data, which fuels continuous improvement for the benefit of others in the ecosystem and ultimately patients. The platform is hosted by a third-party and employs federated learning, a privacy-preserving approach that enables biotechs to tap into Lilly's AI models without directly exposing their proprietary data or Lilly's. Lilly intends to extend the platform's features and capabilities beyond this first release, including adding in vivo small molecule predictive models, available exclusively on Lilly TuneLab. Price Action: LLY stock is up 0.19% at $740.02 during the premarket session at the last check on Tuesday. Read Next: FDA Tightens Grip On Safe Weight Loss Drugs, WHO Adds Them To Essential Medicines List Image: Shutterstock LLYEli Lilly and Co$746.101.01%Stock Score Locked: Edge Members Only Benzinga Rankings give you vital metrics on any stock - anytime. Unlock RankingsEdge RankingsMomentum16.42Growth99.50Quality89.46Value2.68Price TrendShortMediumLongOverviewMarket News and Data brought to you by Benzinga APIs
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Eli Lilly introduces Lilly TuneLab, an AI and machine learning platform for drug discovery, providing biotech companies access to models trained on $1 billion worth of research data. The platform aims to democratize AI capabilities in pharmaceutical research.
Pharmaceutical giant Eli Lilly has taken a significant step in the realm of artificial intelligence-driven drug discovery with the launch of its new platform, Lilly TuneLab. This innovative AI and machine learning (AI/ML) platform aims to revolutionize the drug development process by providing biotech companies access to advanced drug discovery models trained on years of Lilly's extensive research data
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.Source: Reuters
The launch of TuneLab represents a significant investment by Eli Lilly, with the company estimating that the initial release of AI models includes proprietary data obtained at a cost of over $1 billion
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. This substantial investment underscores Lilly's commitment to leveraging AI technologies in drug discovery and development.Daniel Skovronsky, Eli Lilly's chief scientific officer and president of Lilly Research Laboratories and Lilly Immunology, emphasized the platform's role in democratizing access to advanced AI capabilities. He stated, "Lilly TuneLab was created to be an equalizer so that smaller companies can access some of the same AI capabilities used every day by Lilly scientists"
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. This move is expected to significantly boost biotechnology research across the industry.Lilly TuneLab is powered by the company's extensive drug disposition, safety, and preclinical datasets, representing experimental data obtained from hundreds of thousands of unique molecules
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. The platform adopts a collaborative approach, where selected biotech partners contribute training data in exchange for access. This continuous data exchange is designed to fuel ongoing improvements in the AI models, ultimately benefiting the entire ecosystem and patients.Related Stories
To address potential concerns about data security and intellectual property protection, Lilly TuneLab employs a privacy-preserving approach called federated learning. This method allows biotech companies to utilize Lilly's AI models without directly exposing their proprietary data or Lilly's sensitive information
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. The platform is hosted by a third party to ensure neutrality and security.Eli Lilly has already secured partnerships with privately held companies Circle Pharma and insitro to develop cancer therapies and small molecule drugs, respectively, using the TuneLab platform
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. Looking ahead, Lilly plans to extend the platform's features and capabilities, including the addition of in vivo small molecule predictive models, which will be available exclusively on Lilly TuneLab2
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