Tumor Response Prediction Professors in Global

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Hannah Carter
University of California, San Diego United States of America
tumor genome evolution
anti-tumor immunity
computational cancer genomics
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Karl Hellstrom
University of Washington United States of America
tumor immunity
tumor immunology
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Kornelia Polyak
Harvard Medical School United States of America
breast cancer risk prediction
tumor evolution
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Ingegerd Hellstrom
University of Washington United States of America
tumor immunology
tumor diagnostics
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David Feldser
University of Pennsylvania United States of America
tumor immunology
tumor progression
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Burkhard Rost
Technical University of Munich Germany
protein structure prediction
gene structure prediction
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James Clune
Yale University United States of America
tumor immunology
tumor genetics
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James Clune
Yale University United States of America
tumor immunology
tumor genetics
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Raphaëlle Luisier
University of Geneva Switzerland
tumor immunology
tumor architecture
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Huiping Liu
Northwestern University Feinberg School of Medicine United States of America
tumor immunology
machine learning in cancer research
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Michael Sternberg
Imperial College London United Kingdom
protein structure prediction
function prediction
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Ben Reis
Harvard University United States of America
disease prediction
predictive medicine
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Rakesh Jain
Harvard University United States of America
tumor biology
tumor growth
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Weibo Cai
University of Wisconsin–Madison United States of America
tumor targeting
cancer diagnosis
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Rina Foygel Barber
University of Chicago United States of America
prediction
conformal prediction
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Trudy Oliver
Duke University Singapore
tumor progression
tumor initiation
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Hui-wen Lo
Texas A&M University United States of America
tumor progression
tumor growth
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Jadee Lee Neff
Duke University Singapore
tumor genetics
tumor immunotherapy
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Russell Schwartz
Carnegie Mellon University United States of America
tumor evolution
computational cancer genomics
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Harman Sekhon
University of Ottawa Canada
cancer diagnosis
tumorigenesis
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Maria Timofeeva
University of Southern Denmark Denmark
cancer prediction
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