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J&J says AI cuts drug lead development time in half

Johnson & Johnson says artificial intelligence is reducing by 50% the time needed to generate early drug development leads, accelerating how quickly promising compounds are identified.

According to J&J, AI is helping screen large pools of chemical and biologic candidates faster, improving lead optimization in areas such as cancer and immunology. The company says it has already sped up development for two compounds.

AI is also transforming operations beyond discovery:

  • Clinical trial documentation reduced from hundreds of hours to minutes
  • Faster patient recruitment
  • Improved manufacturing efficiency
  • Enhanced surgical precision in medical devices

J&J says AI is not yet replacing full drug discovery, but it is becoming a major force multiplier in speeding research, regulatory workflows and treatment innovation.

Schrodinger to Integrate Eli Lilly’s AI Drug Discovery Platform TuneLab

Biotech software company Schrodinger said on Friday it is collaborating with pharmaceutical giant Eli Lilly to offer Lilly’s artificial intelligence–based drug discovery platform, TuneLab, through its software.

Under the collaboration, Lilly’s TuneLab platform will be integrated into Schrodinger’s cloud-based drug design software LiveDesign, giving biotechnology companies direct access to AI tools designed to accelerate drug discovery and development. Schrodinger said the integration will help researchers move more quickly from early-stage molecule design to viable drug candidates.

LiveDesign is used by chemists to design compounds and predict key properties such as absorption and distribution, helping developers understand how experimental drugs are likely to behave in the body. The addition of TuneLab is expected to further enhance these capabilities by applying AI and machine learning models trained on years of pharmaceutical research data.

Drugmakers and biotech firms have been increasingly adopting AI tools to speed up discovery and safety testing, aiming to reduce costs and development timelines. The trend aligns with efforts by regulators such as the U.S. Food and Drug Administration to encourage alternatives to animal testing in the coming years.

Schrodinger Chief Strategy Officer Karen Akinsanya said existing LiveDesign customers will gain access to TuneLab in the first quarter of this year, while new users will be able to use the AI platform starting in the second quarter.

Eli Lilly launched TuneLab last year to allow external biotech companies to tap into its AI and machine learning models trained on proprietary research data. Lilly has already announced multiple partnerships using the platform to support drug development efforts.

“More biotechs using the models means more diverse training data,” said Aliza Apple, global head of Lilly TuneLab. “Ultimately, this is about moving molecules through discovery faster for the patients who are waiting.”

Metagenomi Uses Amazon’s AI Chips to Power Next-Gen Gene Editing

Biotech company Metagenomi (MGX.O) has begun using Amazon Web Services’ custom AI chips to accelerate the discovery of new gene-editing technologies, marking one of the first major biotech applications of Amazon’s in-house silicon beyond large language models and chatbots.

The Emeryville, California-based firm, which is developing tools to deliver gene therapies directly into human cells, said AWS Inferentia chips have given it a major cost advantage over Nvidia’s AI hardware, cutting computational expenses by about half while maintaining comparable performance.

Metagenomi’s approach relies heavily on artificial intelligence to design and test enzymes capable of safely editing DNA. The company scans nature for rare proteins that might serve as effective delivery vehicles for genetic material and then uses AI to generate millions of variants in search of the most effective designs.

“We generated over a million different proteins from a rare class of enzymes used in gene editing,” said Chris Brown, Metagenomi’s head of discovery. “It was a clear cost advantage to use the Inferentia platform. Unless you cast a broad enough net early, you risk missing key breakthroughs entirely.”

Amazon’s Inferentia chips, first introduced in 2019 to enhance the AI capabilities of its Alexa virtual assistant, are now being used by other industries beyond software — with biotechnology emerging as a new frontier for AI-driven hardware.

By applying cloud-based AI to the complex problem of gene delivery and editing, Metagenomi hopes to make treatments for genetic disorders faster and more affordable, while demonstrating how custom AI infrastructure can accelerate scientific discovery.