Contribute Try STAT+ Today

The formula for launching a machine learning company in health care looks something like this: Build a model, test it on historical patient data in a computer lab, and then start selling it to hospitals nationwide.

Suchi Saria, director of the machine learning and health care lab at Johns Hopkins University, is taking a different approach. Her company, Bayesian Health, is coming out of stealth mode on Monday by publishing a prospective study on how one of its lead products — an early warning system for sepsis — impacted the care of current patients in real hospitals.

Unlock this article by subscribing to STAT+ and enjoy your first 30 days free!

GET STARTED

What is it?

STAT+ is STAT's premium subscription service for in-depth biotech, pharma, policy, and life science coverage and analysis. Our award-winning team covers news on Wall Street, policy developments in Washington, early science breakthroughs and clinical trial results, and health care disruption in Silicon Valley and beyond.

What's included?

  • Daily reporting and analysis
  • The most comprehensive industry coverage from a powerhouse team of reporters
  • Subscriber-only newsletters
  • Daily newsletters to brief you on the most important industry news of the day
  • STAT+ Conversations
  • Weekly opportunities to engage with our reporters and leading industry experts in live video conversations
  • Exclusive industry events
  • Premium access to subscriber-only networking events around the country
  • The best reporters in the industry
  • The most trusted and well-connected newsroom in the health care industry
  • And much more
  • Exclusive interviews with industry leaders, profiles, and premium tools, like our CRISPR Trackr.

Create a display name to comment

This name will appear with your comment