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The AI imperative for life sciences

3 分で読める
残り 35 分

Life sciences organizations are putting frontier AI into the hands of their scientists and regulatory teams, and the early movers are seeing real gains in how quickly they can work.

The appetite is there. Deloitte's 2026 State of AI in the Life Sciences and Healthcare Industry (opens in new tab) report found that 72 percent of healthcare and life sciences companies plan to deploy agentic AI in the next two years. But only 34 percent feel highly prepared to adopt it, and just 28 percent feel ready to handle the risk and governance that come with it.

That gap is no surprise. The stakes are higher in life sciences than almost anywhere else: patient safety and scientific integrity depend on getting it right. Data is fragmented across discovery, development, and regulatory functions. Frameworks like GxP, 21 CFR Part 11, FDA guidance, and the EU AI Act demand rigorous compliance, and scientists rightly question whether AI can meet the rigor their work requires.

Working alongside our customers, Anthropic has developed a proven approach to bringing AI to life sciences organizations built for the realities of regulated science:

  • Lay the foundation. Organizations begin by building a solid base: strategy, stakeholder alignment, and governance.
  • Launch a pilot. Next, teams run carefully chosen pilots that show value quickly while building real expertise.
  • Scale impact. Finally, successful pilots expand across the business through structured rollout programs and centers of excellence.

This guide covers what matters at each step. We'll start by identifying high-impact use cases across R&D, clinical development, regulatory affairs, and commercial functions. We'll then walkthrough how to build business cases that win cross-functional support while meeting compliance requirements. And we'll share how teams at Bluenote (opens in new tab), Biomni (opens in new tab), FutureHouse (opens in new tab), and Novo Nordisk (opens in new tab) put AI to work to drive better scientific and regulatory outcomes.

Let's dive in.