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STAT+: Anthropic’s biology head talks ‘Claude for Life Sciences’

You’re reading the web edition of STAT’s AI Prognosis newsletter, our subscriber-exclusive guide to artificial intelligence in health care and medicine. Sign up to get it delivered in your inbox every Wednesday. 

I saw the Keanu Reeves and Alex Winter Broadway production of “Waiting for Godot” last week, and I’m still so pumped about finally having seen my favorite play. (I got really into Theatre of the Absurd when I was a teenager.)

D.C.-area folks: Flying V at Silver Spring Black Box Theatre is currently putting on “Doctor Moloch,” a play about a humanoid AI doctor who has to learn about empathy. I beg of you, please see this show on my behalf, because I can’t go!

Feedback, tips, questions, “Doctor Moloch” reviews: aiprognosis@statnews.com, or btrang.01 on Signal for confidential tips.

What’s Anthropic doing with life sciences?

Anthropic earlier this week released Claude for Life Sciences — a biology package available to the LLM company’s premium subscribers. 

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STAT+: European oncology experts roll out guidance for use of large language models in clinical care 

BERLIN — The leading professional organization for European oncologists has rolled out its first set of guidance on how its members should use large language models, a type of artificial intelligence, in cancer medicine. 

“The oncology community cannot ignore the potential benefits which AI technology can provide to cancer patients,” the authors of the guidance wrote, while simultaneously acknowledging that there aren’t enough evaluations of the chatbots available to patients or tools available to doctors to address the risks associated with generative AI in medicine.

The guidance’s release — it was published last Saturday in the Annals of Oncology — coincided with the annual meeting for the European Society for Clinical Oncology in Berlin. The American Society of Clinical Oncology has issued its own set of principles for the responsible use of AI in cancer medicine, but has not released recommendations specific to large language models (LLMs).

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