
How NVIDIA's AI Platforms are Reshaping the Future of BioPharma R&D
"We can cut preclinical development from five years to 18 months. Molecules which are AI-enabled in some way seem to be doing better in Phase 1 than standard molecules." - Dr. Eva-Maria Hempe, Head of Healthcare & Life Sciences EMEA at NVIDIA
Dr. Eva-Maria Hempe leads healthcare and life sciences for NVIDIA across Europe, combining a background in physics with a PhD in healthcare services design to drive AI innovation across the pharmaceutical industry.
In the latest episode of the PharmaSource podcast, Eva-Maria explains how NVIDIA's accelerated computing platforms are enabling breakthroughs in drug discovery, clinical trials, and personalised medicine through parallel processing power that's revolutionising pharmaceutical R&D.
NVIDIA's Toolbox: Accelerating Every Stage of Pharmaceutical Development
NVIDIA has developed a comprehensive suite of specialised tools for pharmaceutical companies, with the Clara platform encompassing multiple technologies targeting different areas of drug development:
- Parabricks: Software for sequencing of DNA and RNA data which accelerates genomic analysis from 30 hours to just 60 minutes
- MONAI Toolkit: Processes medical images for both human diagnostics and cellular analysis
- BioNeMo Framework: Handles biological language models for protein folding and molecule generation
- Holoscan: Enables real-time sensing and edge intelligence for laboratory applications
NVIDIA has recently released EVO 2, an AI foundation model for biomolecular sciences released in February 2025, in collaboration with Arc Institute with contributions from Stanford University and UC Berkeley
"It was trained on 9 trillion nucleotides from 100,000 species across the tree of life," Eva-Maria says. "It can predict with 90% accuracy whether a previously unrecognized mutation would affect gene function or not."
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