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Generative AI is remodeling drug analysis and growth, enabling new discoveries sooner than ever — and Amgen, one of many world’s main biotechnology corporations, is tapping the know-how to energy its analysis.
Amgen will construct AI fashions educated to research one of many world’s largest human datasets on an NVIDIA DGX SuperPOD, a full-stack knowledge heart platform, that will likely be put in at Amgen’s deCODE genetics’ headquarters in Reykjavik, Iceland. The system will likely be named Freyja in honor of the highly effective, life-giving Norse goddess related to the power to foretell the longer term.
Freyja will likely be used to construct a human range atlas for drug goal and disease-specific biomarker discovery, offering important diagnostics for monitoring illness development and regression. The system may also assist develop AI-driven precision medication fashions, probably enabling individualized therapies for sufferers with critical ailments.
Amgen plans to combine the DGX SuperPOD, which is able to function 31 NVIDIA DGX H100 nodes totaling 248 H100 Tensor Core GPUs, to coach state-of-the-art AI fashions in days relatively than months, enabling researchers to extra effectively analyze and study from knowledge of their seek for novel well being and therapeutics insights.
“For greater than a decade, Amgen has been getting ready for this hinge second we’re seeing within the business, powered by the union of know-how and biotechnology,” stated David M. Reese, government vice chairman and chief know-how officer at Amgen. “We look ahead to combining the breadth and maturity of our world-class human knowledge capabilities at Amgen with NVIDIA’s applied sciences.”
The objective of deCODE founder and CEO Kári Stefánsson in beginning the corporate was to grasp human illness by trying on the range of the human genome. He predicted in a current Amgen podcast that throughout the subsequent 10 years, medical doctors will routinely use genetics to discover unusual ailments in sufferers.
“This SuperPOD has the potential to speed up our analysis by coaching fashions extra rapidly and serving to us generate questions we would not have in any other case thought to ask,” stated Stefánsson.
Placing the Tech in Biotechnology
Since its founding in 1996, deCODE has curated greater than 200 petabytes of de-identified human knowledge from almost 3 million people.
The corporate began by gathering de-identified knowledge from Icelanders, who’ve a wealthy heritage in genealogies that stretch again for hundreds of years. This population-scale knowledge from analysis volunteers gives distinctive insights into human range because it applies to illness.
deCODE has additionally helped sequence greater than half 1,000,000 human genomes from volunteers within the UK Biobank.
However drawing insights from this a lot knowledge requires highly effective AI techniques.
By integrating highly effective new know-how, Amgen has a chance to speed up the invention and growth of life-changing medicines. In March 2023, NVIDIA introduced that Amgen grew to become one of many first corporations to make use of NVIDIA BioNeMo, which researchers have used to construct generative AI fashions to speed up drug discovery and growth. Amgen researchers have additionally been accessing BioNeMo by way of NVIDIA DGX Cloud, an AI supercomputing service.
“Fashions educated in BioNeMo can advance drug discovery on a number of fronts,” stated Marti Head, government director of computational and knowledge sciences at Amgen. “Along with serving to develop medication which are simpler, they’ll additionally assist keep away from negative effects like immune responses, and new biologics may be made in quantity.”
By adopting DGX SuperPOD, Amgen is poised to realize unprecedented knowledge insights with the potential to vary the tempo and scope of drug discovery.
“The fusion of superior AI, groundbreaking developments in biology and molecular engineering and huge portions of human knowledge aren’t simply reshaping how we uncover and develop new medicines — they’re redefining medication,” Reese stated.
Study NVIDIA’s AI platform for healthcare and life sciences.
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