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Predicting Response to Immunotherapy with a Mathematical Model - Matthew D. Hellmann, MD and Benjamin Greenbaum, PhD

  • Cancer Network
  • (December 23, 2017)

Researchers at the Icahn School of Medicine at The Mount Sinai Hospital in New York have created the first mathematical model that can predict how a cancer patient will benefit from some immunotherapies, according to a study published in the journal Nature. Benjamin Greenbaum, MD, assistant professor of medicine, hematology and medical oncology, pathology, and oncological sciences at the Icahn School of Medicine at Mount Sinai states how his colleagues tested the model on existing cancer patient data and what the results were. "A model like this has to be trained, there have to be some parameters that must be inferred from the data, and so we used one of those datasets to train the model and then we tested it on another dataset, and then we reversed the process of training it on one dataset and testing it on another, since this was not done on a prospective study. That was the general approach to see if we could get a consistent model across all three of the previously published datasets that we were able to use for the study."

- Benjamin D. Greenbaum, MD, Assistant Professor, Medicine, Hematology and Medical Oncology, Pathology, Oncological Sciences, Icahn School of Medicine at Mount Sinai

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