IDIGH - Infectious Diseases and Immunity in Global Health Program IDIGH - Infectious Diseases and Immunity in Global Health Program

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IDIGH - Infectious Diseases and Immunity in Global Health Program IDIGH - Infectious Diseases and Immunity in Global Health Program

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    Research Institute of the McGill University Health Centre
    Glen site, Block E, Room EM3-3211
    1001, boul. Décarie
    Montréal (Québec) H4A 3J1

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Dr. Todd Lee

Details
Category: IDIGH Seminars
Also available:  FR 
  • Title:

    Treatment of Gram-negative blood stream infections: putting probability into practice
  • Speaker: Dr. Todd Lee
  • Start: 2019-10-16 12:00
  • End: 2019-10-16 13:00
  • Location: EM1.3509
  • Website: https://rimuhc.ca/-/todd-lee-md-mph

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Latest updates

  • IDIGH-CRP Joint Research Day: Vision, Collaboration, and Discoveries
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  • IDIGH Trainees Gather to Discuss Career Paths
  • Ana Copaescu receives the 2024 FMSQ Research Award
  • Happy Holidays! (2024)
  • Shaping Your Future: A Career Development Retreat for IDIGH Trainees
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IDIGH Directory

Events

Thursday June 12

12:00pm-1:00pm (1h)

Trainee & Staff Seminar Series

 More events

Latest IDIGH Publications

  1. Machine Learning Accurately Predicts Need for Critical Care Support in Patients Admitted to Hospital for Community-Acquired Pneumonia

    Journal

    Critical care explorations

    Research Group

    Cheng, Matthew
    Lee, Todd
    Vinh, Donald
  2. Machine-learning models to predict iron recovery after blood donation: a model development and external validation study

    Journal

    The Lancet. Haematology

    Research Group

    Russell, W. Alton
  3. An International Consensus on Appropriate Management of Corticosteroids in Clinical Trials in Inflammatory Bowel Disease

    Journal

    Gastroenterology

    Research Group

    Lakatos, Peter
  4. Electronic Decision Support for Deprescribing in Older Adults Living in Long-Term Care: A Stepped-Wedge Cluster Randomized Trial

    Journal

    JAMA network open

    Research Group

    Lee, Todd
    McDonald, Emily
  5. Machine Learning Accurately Predicts Need for Critical Care Support in Patients Admitted to Hospital for Community-Acquired Pneumonia

    Journal

    Critical care explorations

    Research Group

    Cheng, Matthew
    Lee, Todd
    Vinh, Donald
More publications 

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IDIGH Program
Research Institute of the McGill University Health Centre
Glen site, Block E, Room EM3-3211
1001, boul. Décarie
Montréal (Québec) H4A 3J1

Contact
contact@idigh.ca

Privacy policy
Terms of use

 

Program Assistant

Vicky Barrera, BSc
vicky.barrera@rimuhc.ca
514-934-1934 ext 76174

 

 

Program Manager

Eric Beliveau, Ph.D
eric.beliveau@affiliate.mcgill.ca
514-934-1934 ext 76133

 

 

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