Written by 5:00 pm Academic, Medical

### Nvidia Expands AI Drug Development Through Partnerships with Amgen and Recursion

Nvidia is doubling down on artificial-intelligence-powered drug discovery and development, announci…

Nvidia Corporation (NVDA) is significantly ramping up its efforts in AI-driven drug discovery and development, with recent announcements of expanded collaborations with Amgen Inc. (AMGN) and Recursion Pharmaceuticals Inc. (RXRX).

During the JPMorgan Chase & Co. healthcare conference in San Francisco, Nvidia disclosed its plans to enhance drug discovery by establishing a computational hub at Amgen’s deCODE Genetics. This initiative aims to develop sequencing “foundation versions” using models trained on extensive datasets.

Moreover, Nvidia introduced BioNeMo, its proprietary generative AI program for drug identification, which is currently in beta testing. This cutting-edge tool is gaining traction among industry players like Recursion and Insilico Medicine, offering computational techniques that leverage relational AI to streamline research processes and minimize the need for extensive experiments.

Notably, BioNeMo will integrate a Recursion base model for drug discovery, marking a significant milestone for Nvidia in advancing AI applications in the pharmaceutical sector.

Kimberly Powell, Executive Vice President of Healthcare at Nvidia, emphasized the transformative impact of digital biology and generative AI on drug discovery, highlighting the sector’s shift towards innovation and efficiency amidst rising costs and high failure rates in traditional drug development.

The strategic alliances between major pharmaceutical companies, such as Roche Holding AG’s Genentech unit and Novo Nordisk, with AI-focused entities like Valo Health Inc., underscore the industry’s collective push towards leveraging AI technologies for novel cardiometabolic programs and drug discovery initiatives.

While the potential of AI to expedite and optimize drug discovery processes is promising, challenges persist. Issues such as generating impractical solutions and data-sharing hurdles, as highlighted in recent publications in Nature and insights from Amgen researchers, underscore the need for innovative solutions and collaborative approaches in harnessing AI for drug development.

Chris Gibson, CEO of Recursion, emphasized the significance of BioNeMo’s tissue image conversion capabilities and the collaborative ethos driving advancements in AI-powered drug discovery. By sharing foundational models, the industry aims to accelerate progress and foster a more collaborative research environment while safeguarding proprietary datasets crucial for advancements in the field.

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Last modified: January 10, 2024
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