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  1. 10 hours ago

    Pretty much. "If Your Company Isn’t Good at Analytics, It’s Not Ready for AI"

  2. Jun 9

    Yup. Don't always reach for the biggest tool in the shed.

  3. Jun 8
  4. Retweeted
    May 27

    Access to care isn't just about insurance. Healthcare deserts tend to be in the same counties that voted for Trump.

  5. Jun 6

    I'm looking for success stories of distributed data science/engineering teams. (eg across time zones.) Who do you see doing this right?

  6. Retweeted
    Jun 2
  7. Jun 3

    Nice dose of AI health care boosterism. Note: doctors quoted = 0.

  8. Retweeted
    May 24

    Biggest ML prize ever. What's more interesting is that you can get creative w/ external data sources, unlike some earlier competitions.

  9. May 31

    Cricket Health CEO talks about helping patients with CKD make more informed choices for care - MedCity News

  10. Retweeted
    May 31

    Does anyone have any experience using some sort of visual tool to design a state machine? All the inputs/outputs/transitions?

  11. May 30

    Trump bot needs more training data.

  12. May 30

    Medicine Is Going Digital. The FDA Is Racing to Catch Up

  13. May 29
  14. May 27

    Yes, yes, yes. Math+ML are fundamentally accessible and inclusive. If the community is not, it's the fault of the people involved.

  15. May 26

    We're starting to see a progressive peace dividend from AI.

  16. May 25

    Thanks for tons of great replies! Now the flipside: what are common failure modes for AI / predictive projects and teams in health care?

  17. May 24

    “Amazon has built a feedback loop as a moat, and it is incredible to watch the flywheel start to pick up speed.”

  18. May 23
  19. May 22

    Who's doing AI/ML right in health care? Smart approaches and/or success stories. Thoughts, ?

  20. May 20

    Four Lessons In The Adoption Of Machine Learning In Health Care

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