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GE HealthCare Announces New Data Validating Artificial Intelligence Models for Predicting Patient Response to Immunotherapies

GE HealthCare’s Artificial Intelligence (AI) models predict patient response to immunotherapies with 70 to 80 percent accuracy1, based on a pan-cancer cohort, according to findings to be presented at the Society for Immunotherapy of Cancer (SITC) in San Diego, U.S., by GE HealthCare, Vanderbilt University Medical . ....

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GE HealthCare Announces New Data Validating Artificial Intelligence Models for Predicting Patient Response to Immunotherapies

GE HealthCare Announces New Data Validating Artificial Intelligence Models for Predicting Patient Response to Immunotherapies
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San Diego , United States , Vanderbilt University , West German , Jens Kleesiek , Julia Casey , John Howser , Achim Struchholz , Mathilde Bouscaillou , Travis Osterman , Cancer Clinical Informatics At Vanderbilt Ingram Center , National Cancer Institute Imaging Steering Committee , Ge Healthcare Technologies Inc , Society For Immunotherapy Of Cancer , German Cancer Center , Vanderbilt University Medical Center , Vanderbilt University Medical Center Media Contact , University Medicine Essen Media Contact , University Hospital Essen , University Medicine Essen , Research Informatics , Patient Care Solutions , Head Of The Medical Machine Learning Department , German Cancer Center Essen , Ge Healthcare , Artificial Intelligence ,

GE HealthCare Announces New Data Validating Artificial Intelligence Models for Predicting Patient Response to Immunotherapies

GE HealthCare Announces New Data Validating Artificial Intelligence Models for Predicting Patient Response to Immunotherapies
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