Predicting response to cancer immunotherapy using noninvasive radiomic biomarkers

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Abstract

Immunotherapy is regarded as one of the major breakthroughs in cancer treatment. Despite its success, only a subset of patients responds-urging the quest for predictive biomarkers. We hypothesize that artificial intelligence (AI) algorithms can automatically quantify radiographic characteristics that are related to and may therefore act as noninvasive radiomic biomarkers for immunotherapy response.

Journal details

Volume 30
Issue number 6
Pages 998-1004
Available online
Publication date