Tumor Microenvironment (TME) is the complex, dynamic ecosystem surrounding a tumor, including immune cells, stromal cells, blood vessels, signaling molecules, and extracellular matrix, which interact with the tumor cells. Machine learning is used to model, analyze, and predict the interactions within the TME to better understand tumor behavior, progression, and response to therapies.

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Spatially Informed Gene Signatures for Response to Immunotherapy in Melanoma

We aim to improve the prediction of response or resistance to immunotherapies in patients with melanoma. This goal is based on the hypothesis that current gene signatures predicting immunotherapy outcomes show only modest accuracy due to the lack of spatial information about cellular functions and molecular processes within tumors and their microenvironment.