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Michael Tse-Yin Lu, M.D.

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Available: 06/17/19, Expires: 06/30/25

Wanted: Outstanding MD or PhD predoctoral student for deep learning research at the Cardiovascular Imaging Research Center at Massachusetts General Hospital and Harvard Medical School. Current projects apply deep learning to predict health outcomes (e.g. heart attack) from medical imaging (e.g. CT and x-ray). We work with high quality trial datasets of tens of thousands of patients with imaging and adjudicated outcomes (ROMICAT II Hoffmann U et al. NEJM 2012; PROMISE Douglas PS et al. NEJM 2015; Framingham Heart Study Hoffmann U et al. JAMA Cardiology 2017; REPRIEVE Hoffmann U, Lu MT et al Am Heart J 2019; NLST Berg CD et al NEJM 2011).Recent publication using AI to predict mortality from chest x-rays in JAMA Open: https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2738349">https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2738349. Prerequisites: Coding experience, experience or commitment to learn PyTorch and/or Tensorflow. Able to work in a collaborative team environment including MDs and PhD. Excellent verbal and written communication skills.

The research activities and funding listed below are automatically derived from NIH ExPORTER and other sources, which might result in incorrect or missing items. Faculty can login to make corrections and additions.
  1. R01HL164629 (FAHED, AKL C) Jul 1, 2023 - Jun 30, 2028
    Coronary plaque changes with statin and colchicine among people with high polygenic risk- a mechanistic pilot study
    Role: Co-Principal Investigator

Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.
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Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.