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Machine Learning In Immunology
Machine Learning In Immunology Professors in Global
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Professor
Jessica Strid
Imperial College London
United Kingdom
cellular immunology
skin immunology
immune-surveillance
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Professor
Peter Heegaard
Technical University of Denmark
Denmark
innate immunology
immunochemistry
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Professor
Joana Neves
King's College London
United Kingdom
immunology
data-driven immune studies
mucosal immunology
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Professor
William Agace
University of Copenhagen
Denmark
barrier immunology
mucosal immunology
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Professor
Woldegebriel Woldegerima
York University
Canada
artificial intelligence in infectious disease prediction
infectious disease modeling
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Professor
Susanne Lindgren
University of Gothenburg
Sweden
immunologic aging
immunological biomarkers
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Professor
Philip Askenase
Yale University
United States of America
immunochemistry
allergy immunology
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Professor
Andrew Issekutz
Dalhousie University
Canada
pediatric immunology
immune response mechanisms
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Professor
Michelle Yap
Monash University
Australia
immunoinformatics
immunopharmacology
molecular modeling
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Professor
Xavier Keutgen
University of Chicago
United States of America
deep learning in medical imaging
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Professor
Josefine Sundgaard
Technical University of Denmark
Denmark
deep learning in medical imaging
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Professor
Timothy Amrhein
Duke University
Singapore
deep learning in medical imaging
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Professor
Robert Fairchild
Stanford University
United States of America
deep learning in medical imaging
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Professor
Martin Ebert
University of Western Australia
Australia
deep learning in medical imaging
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Professor
Kareem Hosny
University of Washington
United States of America
clinical applications machine learning
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Professor
Li Tang
École Polytechnique Fédérale de Lausanne
Switzerland
immunoengineering
mechano-immunology
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Professor
Ahmed Mostafa
University of Saskatchewan
Canada
machine learning hla antibody prediction
immunogenetics
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Professor
Kim Dam-johansen
Technical University of Denmark
Denmark
machine learning in coatings
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Professor
Arya Rahgozar
University of Ottawa
Canada
machine understanding
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Professor
Mohammad Naghavi-behzad
University of Southern Denmark
Denmark
artificial intelligence in medical research
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Professor
Manjosh Uppal
University of British Columbia
Canada
artificial intelligence in medical research
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