Columbia DBMI

@ColumbiaDBMI

Dept of Biomedical Informatics at : discovery and impact in research and education

Vrijeme pridruživanja: listopad 2016.

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  1. prije 20 sati

    Congrats to DBMI Postdoc Matthew Spotnitz, whose recent study was just published by The Green Journal! Check out the study and infographic below. ⬇️⬇️⬇️

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  2. prije 23 sata

    Congrats to DBMI Data Engineer Xinzhou (Zoey) Jiang for having her work featured today in the . ⬇️⬇️⬇️

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  3. proslijedio/la je Tweet
    3. velj

    Are you a rising HS senior or undergrad interested in data science or medicine? Looking for a or ? The deadline to apply is this Friday!

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    3. velj
    Odgovor korisnicima

    Excited to speak at !

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  5. 3. velj

    Please join us for today's DBMI Seminar (1-2 pm), as we welcome Dr. of . Her presentation is entitled "The quest for deep knowledge - decoding the human genome with deep learning models.”

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  6. 2. velj

    Our provides opportunities for HS seniors/undergrads to gain knowledge, hands-on skills, & experience in . PLEASE SHARE with anybody who might be interested! 🚨 DEADLINE IS THIS FRIDAY! 🚨 ➡️

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  7. 31. sij

    Please join us for our next DBMI Seminar on Feb 3 (1-2 pm), as we welcome Dr. of . Her presentation is entitled "The quest for deep knowledge - decoding the human genome with deep learning models.”

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    31. sij

    Enjoying visiting talk by from on extracting information from the “ mess.” She had me at “we shadowed clinicians for a year and interviewed them.” SO important to understand user, use cases, workflow. Harvest tool looks v interesting!

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  9. 31. sij

    Our Summer Fellowship provides great opportunities for HS seniors/undergrads to gain knowledge, hands-on skills, & research experience in biomedical informatics. Please share with anybody who might be interested! DEADLINE IS FEB. 7! ➡️

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  10. proslijedio/la je Tweet

    Check out our latest research paper on visualizing patient-reported outcomes published today in , funded by . From my lab at , co-first authors , and coauthors report that...

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  11. 30. sij

    Congrats to assistant professor Karthik Natarajan and the Columbia DBMI Phenotype Workgroup, as their research for the 2019 Symposium was featured today in the ! Check out all the collaborators!

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  12. 29. sij

    Working with observational heath data through is a unique opportunity in our fellowship! Check out the link and get those applications in before the Feb. 7 deadline!

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  13. 28. sij

    Interested in learning about the entire healthcare system? Check out 🚨BINF G5000: Defining, Evaluating, and Improving Quality in Healthcare🚨 Students will learn from several prominent speakers from both CUIMC & , as well as industry leaders in the field!

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  14. 28. sij

    Our Summer Fellowship provides great opportunities for HS seniors/undergrads to gain knowledge, hands-on skills, & research experience in biomedical informatics. Please share with anybody who might be interested! DEADLINE IS FEB. 7! ➡️

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  15. proslijedio/la je Tweet
    28. sij

    Today’s research comes was led by PhD student Anna Ostropolets: “Concept Heterogeneity in the OHDSI Network.” Important work for the feasibility and efficiency of network studies. ➡️

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  16. 27. sij

    Thank you to Anna Ostropolets and for sharing their research and giving us a great start to another semester of DBMI Seminars. The full semester schedule is available below. ➡️

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  17. 27. sij

    Our spring semester of DBMI Seminars starts TODAY at 1 pm in PH 20-200. We are excited to have DBMI trainees and Anna Ostropolets to share their research. Click the link for the spring semester schedule! ➡️

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  18. proslijedio/la je Tweet

    Great lecture on transparent and collaborative documentation by for my course at ! Few can explain communication of health information, intervention generated inequity with actionable solutions, and in a single lecture. Thanks!

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  19. proslijedio/la je Tweet
    23. sij

    Using this approach, we find evidence for a new variant in a previous unidentified gene, ABCG8, which replicates in the megastroke study (the largest stroke meta analysis to date).

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  20. proslijedio/la je Tweet
    23. sij

    Using machine learning on features all across the EHR each patient is assigned a probability of diseases. This is used in place of the diagnosis or billing codes. We show, for stroke, that we can recover known variants where the binary version found none.

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