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  1. Pinned Tweet
    Feb 25

    We are beyond excited to support today's launch of the groundbreaking Heartline study. Learn more about this exploration of whether a new iPhone app and Apple Watch can help reduce the risk of stroke:

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  2. Retweeted
    Mar 13

    1/ At we can't wait for high throughput, accessible testing. We need to continue to buildout participatory surveillance, and educate people to social distance. We have been running multiple nationwide participatory flu programs for hundreds of thousands of ppl

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  3. Retweeted
    Mar 11

    6 months in the life of a fellow Achiever, as told by a Learn about a tool our team created called a behaviorgram through a visual of our colleague’s activity tracking in our latest blog post:

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  4. Retweeted
    Mar 11
    Replying to and

    FWIW this was a common criticism of our paper. wrote an excellent response to that:

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  5. Retweeted
    Mar 9

    Very excited to see this paper out! Congrats to all the coauthors and special thanks to the brilliant student for the incredible amount of work he put into this. Really fortunate to have him as an intern at . Full-text access here —>

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  6. Mar 9

    (4/4) While the risk of a practical attack is quite low at this time, we wanted to add to the conversation surrounding the robustness of deep learning algorithms and highlight the need for transparent, secure data provenance in any system that relies upon algorithmic ECG reads.

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  7. Mar 9

    (3/4) This work follows a thread of adversarial research in other domains that tricks models but where humans are not similarly susceptible—it is another reminder that algorithms do not learn to look at signals in the same way as humans (creating opportunities and risks).

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  8. Mar 9

    (2/4) In this example, the researchers used a single lead ECG trace (similar to the Apple Watch and others) and were able to “trick” the model into mis-classifying symptomatic versus asymptomatic cases by strategically adding imperceptible (to a doctor’s eyes) noise.

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  9. Mar 9

    (1/4) Today, published a letter from Xintian Han, Evidation Co-founder and Chief Data Scientist Luca Foschini (), and others on the susceptibility of ECG deep learning models to adversarial attacks.

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  10. Feb 26

    ICYMI: Why Apple and J&J’s new heart study is a big deal for digital health, by – "the largest RCT in the history of cardiovascular disease" and Evidation is enabling it.

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  11. Retweeted
    Feb 25

    I spent some time on the Apple and J&J study, and I think it’s a big deal for a few reasons. - the watch is subsidized at $49 + tax for those who purchase - this is a tech + pharma + retail partnership (Best Buy) - focus on seniors makes a ton of sense

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  12. Retweeted
    Feb 25

    The trial team has already taken the first participant call, multiple patients now enrolled ... we have liftoff

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  13. Retweeted
    Feb 25

    , in collaboration with Apple, has launched the Heartline™ Study—a virtual research study using wearable technology & cutting-edge apps to help detect . Learn about the study & its potential to impact the up to 6 million in the U.S. with AFib:

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  14. Retweeted

    Talking about the importance of involving patients in clinical trials for digital monitoring & drug development tools for Duchenne’s Muscular Dystrophy

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  15. Feb 18

    Join our co-founder Luca Foschini (), Head of Digital Measures , and others for a discussion on regulatory acceptance of real world digital measures. Webcast begins Wednesday at 8:55am ET sharp!

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  16. Feb 14
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  17. Feb 14

    Our CEO Deb Kilpatrick chatted with for about her path to Evidation and our mission. Check out the profile!

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  18. Retweeted
    Feb 10

    Join me for this spicy session w/ today 4:15pm in the capitol/congress room. You know we're going to go ham over the current & issues!

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  19. Feb 6

    A warm congratulations to our data science intern Sarina Abrishamcar (), also the co-founder of , for hacking her way to Major League Hacking's Top 50 Hackers. So proud!

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  20. Retweeted
    Feb 3

    Thanks ! Looking forward to it! For those interested, we also make all the data available - details here:

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