DigestAI news desk
Enterprise & Industry updated 2 min read

Novo Nordisk partners with Anthropic to accelerate drug discovery using Claude Science

Novo Nordisk and Anthropic announced a partnership to use Anthropic’s Claude Science and frontier models to target key drug‑discovery challenges and accelerate R&D timelines. The collaboration will test Claude Science in specific workflows, aiming to compress research timelines and unlock new scientific opportunities. Both companies emphasize responsible AI, with robust data governance and human…

1 source

Key points

  • Novo Nordisk will use Anthropic’s Claude Science to target drug‑discovery challenges and accelerate R&D timelines.
  • The partnership focuses on responsible AI, with robust data governance and human oversight across Novo’s operations.
  • Anthropic’s frontier models aim to compress decades of biological breakthroughs into a decade, boosting drug development speed.
Full story from finance.yahoo.com · by Novo Nordisk A/S · via Search: Anthropic Open source ↗

Novo and Anthropic will collaborate to advance drug discovery with Claude

finance.yahoo.com · 16 September 2026
  • Collaboration aims to help Novo discover and develop new medicines faster
  • Novo will use Anthropic models and Claude Science to advance scientific reasoning for Research and Development (R&D) and agentic software engineering
  • This will further build on Novo's work to become the world's most AI-driven healthcare company

Bagsværd, Denmark, 16 September 2026 – Novo Nordisk and Anthropic today announced a collaboration that will help Novo accelerate the development of new medicines and advance AI-driven software development.

The companies will jointly address key drug discovery challenges identified by scientists and computational teams at Novo, develop targeted solutions for specific scientific challenges and workflows to support biological reasoning, and help accelerate the discovery and development of new medicines.

"This partnership is another testament to our ambition to become the world's most AI-driven healthcare company, building on Novo's current AI initiatives with other technology partners. Joining forces with Anthropic will supercharge our R&D organisation and help us on our mission to bring new, transformative health solutions to people living with chronic diseases," said Mike Doustdar, president and CEO of Novo. "AI can help us increase productivity in R&D and compress the path from research to marketed product. But beyond this, AI tools can also offer completely new scientific opportunities and aid reasoning and understanding of human biology and drug mechanics."

As an initial aim, Novo will test Claude Science for specific workflows in R&D and address scientific problems where the joint capabilities of Novo and Anthropic are expected to have the greatest impact.

"AI's increasing capability brings with it the potential to compress a century's worth of biological and medical breakthroughs into a decade," said Dario Amodei, co-founder and CEO of Anthropic. "By giving leading researchers access to safe, capable, and trusted frontier models, we can shorten research timelines, improve outcomes, and discover medicines and treatments that significantly improve human life. That is exactly what our collaboration with Novo is built to achieve."

Novo will also use Anthropic's frontier models to strengthen AI-driven software development - which is a key enabler for scaling AI across the company.

The collaboration has been designed with robust data governance and human oversight, helping ensure AI is applied responsibly and in line with Novo's ethical and compliance standards.

This text was published by finance.yahoo.com and written by Novo Nordisk A/S. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

Topics · follow one to build your own front page
Novo NordiskAnthropicClaude ScienceMike DoustdarDario Amodei

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us.

Comments

via GitHub Discussions

More in Enterprise & Industry

All →

Related stories