Ben Glicksberg

@BenGlicksberg

Assistant Prof., Genetics & Genomics, Hasso Plattner Institute for Digital Health @ Icahn School of Medicine at Mount Sinai Past: Post-doc, Butte Lab @ UCSF

New York, NY
Vrijeme pridruživanja: svibanj 2013.

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  1. 4. velj
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  2. 3. velj
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  3. 22. sij

    Kicking off the next GAM for at the incredible campus in Potsdam. Speaking of: I am hiring a post-doc for this grant to work on multi-institute, international research!👇

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  4. 15. sij

    Last day to get your application in! is hiring tenure and research track faculty candidates. Particular interest for in and work. Great opportunity to work in a burgeoning dept!

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    19. pro 2019.
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  6. 18. pro 2019.

    Excited to hear break down hope vs hype of clinical-grade AI in cancer! Requires multi-modal deep learning across pathology, radiology, clinical, and molecular domains.

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    16. pro 2019.

    We used electronic health records from to assess the timing of increase in CHA2DS2-VASc scores in patients with .

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    15. pro 2019.

    Honored to be published in this week's issue along with , , , and Dr. Jonathan Halperin. Check out our work looking at stroke risk evolution in patients with !

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  9. 10. pro 2019.
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  10. 10. pro 2019.

    Want to analyze EHR of millions of patients from international hospitals to forward precision medicine? New post-doc position to work on initiative at ! Looking for those with biostats, epi, ML, expertise Please R/T! 1/2

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    5. pro 2019.
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    4. pro 2019.

    Don’t miss The Symposium on Artificial Intelligence for Learning Health Systems (SAIL). ⛵️ Submit abstracts on your latest work (recent pubs or soon-to-be) in before *December 20th*

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    24. stu 2019.
    Odgovor korisnicima i sljedećem broju korisnika:

    And if we really want to make EHR point we need people who have used them to make inferencing. Some people who have done some work are . Me pointing flaws doesn’t make any sense rather than experts who actually dealt with real data.

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  14. 22. stu 2019.

    Amazing job and sincere thanks to Saskia, Anja, and Jasmin for helping to organize and put together the incredible event!

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  15. 22. stu 2019.

    Low hanging fruit first! "Help us better characterize our patients". More data is required for certain gaps in understanding simple issues- even just quantifying sleep patterns for those with insomnia. "These are things we can implement right now"

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    21. stu 2019.

    Check out our new paper on how to scale drug efficacy predictions from cell culture models to in vivo mouse models. Yes to reducing animal usage!

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  17. 21. stu 2019.

    Dean Charney of is now an HPI-Fellow among good company including !

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  18. 21. stu 2019.

    From theory to practice. Prototype development already under way!

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  19. 21. stu 2019.

    Here we go! giving a phenomenal breaking down of the visionary Digital Health Cohort at digital forum. . This is going to be very impactful work to understand and track illness over time!

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  20. proslijedio/la je Tweet
    21. stu 2019.

    Rock star talk by showing some incredible applications of precision medicine and great thoughts on the future! 🤯

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