Skip to content
Members

Elite EditionNo. 248

Stanford Achieves 84% Accuracy Predicting Disease Risk with SleepFM

Business Analytics Newsletter

· 7 min read

Stanford Achieves 84% Accuracy Predicting Disease Risk with SleepFM Foundation Model Trained on 600,000 Hours of Sleep Data

In this edition, we will also be covering:

  • China’s Alibaba, Moonshot claim latest flagship AI models challenge OpenAI, Google

  • China could approve first fully AI-designed drug next year, Merck executive says

  • DeepSeek taps Alibaba open-source AI technology to boost OCR performance

Illustration for Stanford Achieves 84% Accuracy Predicting Disease Risk with SleepFM

Members only

This is a Daily Edition

Members get the full analysis every publishing day, by email and on the web.

7 more minutes of this edition

Membership opens soon, at $89 a year or $9 a month. See what members get

Get the free edition meanwhile

The Free Edition by email, plus the opening of every Elite Edition.

Email sign-ups open soon

Every Free Edition is already open on the web, and the feed works in any reader.

Read the Free EditionsFollow by RSS

Already a member? Sign in

Reader sign-in opens very soon, together with free and paid subscriptions.

Share this editionLinkedInX