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Anthropic · Medicine2 min read

Anthropic's Claude helps drugmakers cut paperwork review from 25 hours to 3

Anthropic says its Claude AI cut one drugmaker's document review from over 25 hours to under three, and it is now working on other steps of drug development.

By the Dashline deskSource: Yahoo Tech
Anthropic's Claude helps drugmakers cut paperwork review from 25 hours to 3
Photo: Ajay Suresh, CC BY 4.0

Anthropic says its AI system, Claude, helped a biotech company called Enveda cut the time to check a big stack of manufacturing paperwork by 89%. The review went from more than 25 hours to under three. Anthropic described the results in a new blog post about its work with drug developers.

The paperwork result

Enveda used Claude on manufacturing documentation. That paperwork had taken up to 75% of some chemists' working time. In one test, the system read 1,061 pages. It found all 11 problems that human reviewers had already caught. It also found seven more.

Other projects in the post

The paperwork is only one part. Anthropic says Claude is being used at several stages, from designing molecules to planning clinical trials. The projects cover cancer, food allergies and rare muscular disorders.

  • Generate Biomedicines: six scientists used Claude Code to shorten a CAR T-cell component by about 70%. Modified cells made roughly ten times more receptors.
  • Divergence Labs: about 35,000 antibody designs in one month for a food-allergy treatment.
  • BigHat Biosciences: about 1,010 antibody fragment variations made and tested over ten weeks.
  • Bristol Myers Squibb: Claude helps assess clinical study plans and estimate their chances of success.

What to keep in mind

Most of these treatments are still experimental. None are available to patients yet. The results also come from Anthropic's own account and the reported findings of its partners. They are not an independent review.

Michael Pourdehnad of Bristol Myers Squibb said Claude produced a robust first analysis from a single prompt. He said it helped weigh options that would otherwise have taken several days.

What it means for your business

The Enveda result is the easiest to relate to. Checking long documents for errors is slow work in almost every company. The example suggests AI can take on a large share of that first pass. Note that in this case humans had already found the original 11 problems, which gave a way to check the AI's work.

What happens next

Anthropic and Bristol Myers Squibb plan to explore how Claude could help with decisions in early clinical development. Anthropic also plans more partnerships, research programs and tools for life-science organizations.

The takeaway

AI may speed up routine document checks, but keep a person in the loop to verify what it finds, as the Enveda test did.

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