Machine learning algorithm predicts a tumor's response to im

Predicting which patients will respond well to treatment is a quandary that has plagued the field of cancer immunotherapy for more than four decades.

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Catherine Wu , Alexander Baras , Giacomo Oliveira , John William Sidhom , Bristol Myers Squibb , Emily Henderson , Petra Ross Macdonald , Johns Hopkins Kimmel Cancer Center , Bloomberg Kimmel Institute For Cancer Immunotherapy , Lab Diagnostics Automation , Harvard Medical School , Dana Farber Cancer Institute , Johns Hopkins University School Of Medicine , Lab Diagnostics Automation Industry , Kimmel Institute , William Sidhom , Johns Hopkins University School , Automation Industry Focus , Drew Pardoll , Johns Hopkins Kimmel Cancer , Megan Wind Rotolo , Cancer , Ancer Immunotherapy , Immunotherapy , Machine Learning , Amino Acid , Artificial Intelligence , Fell , Deep Learning , Drugs , Immune System , Medicine , Melanoma , Ncology , Mh , Protein , Research , Humor , Virus ,