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Isaac Kohane, MD, PhD

10 Shattuck Street
Boston, MA 02115
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Isaac Kohane, MD, PhD
Shield

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Jun 22nd 2016 
Rogue therapeutics in precision medicine
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  • Isaac Kohane, MD, PhD is the inaugural Chair of the Department of Biomedical Informatics at Harvard Medical School. He develops and applies computational techniques to address disease at multiple scales: From whole healthcare systems as “living laboratories” to the functional genomics of neurodevelopment with a focus on autism. Kohane’s i2b2 project is currently deployed internationally to over 120 major academic health centers to drive discovery research in disease and pharmacovigilance (including providing evidence on drugs which ultimately contributed to “black box”ing by the FDA). Dr. Kohane has published several hundred papers in the medical literature and authored a widely used book on Microarrays for an Integrative Genomics. He is a member of the Institute of Medicine and the American Society for Clinical Investigation.

  • Lab Members
  • Department of Biomedical Informatics
  • Personal page at DBMI
  • Video Presentations
  • Big Data to Knowledge (BD2K)
  • Center for Excellence in Genomic Science
  • Undiagnosed Disease Network
  • Google Scholar

Tweet

  • zakkohane
    zakkohane Amazed to see so many in person ⁦@UDNconnect⁩ steering committee meeting after 2+ years virtuality ⁦@washingtondc⁩ w PEER families & researchers + ⁦@NINDSdirector⁩ ⁦@NHGRI_Director⁩ t.co/zmLL0WMkHL
    1 day 17 hours ago.
  • harvardmed
    harvardmed HMS second-year MD student Alaleh Azhir was able to hone her skills and interests in math and biology when she attended the HMS Summer Institute in Biomedical Informatics as an undergraduate t.co/r5q6NJ6E4A t.co/vc1efkvh0S
    2 days 10 hours ago.
  • harrison_zhang
    harrison_zhang We also model longitudinal biomarkers and demonstrate temporal changes trajectories between 2 waves of patients w/ #COVID19 in 2020. Notably, CRP values decreased at faster rate in patents admitted in the 2nd half of 2020 compared to patients in the 1st half. (3/5)
    2 days 16 hours ago.
  • harrison_zhang
    harrison_zhang We built #COVID19 #ML mortality prediction and risk stratification models. Within patients of comparable high-risk profiles at admission, mortality risk decreases from 3/2020 to 12/2020 (47% to 31%). Significant decreases also observed w/in medium and low-risk patients. (2/5)
    2 days 16 hours ago.
  • harrison_zhang
    harrison_zhang How did biomarker trajectories and mortality rates change from Mar 2020 to Dec 2020? In this intl #4CE #federated study, we used data of ~83,000 hospitalized #COVID19 patients across 288 hospitals in 5 countries to answer this question @BMJ_Open t.co/2UWyVni2ki (1/5)
    2 days 16 hours ago.
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