Yonsei University Researchers Develop Deep Learning Model for Microsatellite Instability-High Tumor Prediction
New AI model demonstrates high accuracy for predicting immune checkpoint inhibitor (ICI) responsiveness by integrating tumor MSI status with stroma-to-tumor ratio Researchers from Yonsei University have developed MSI-SEER, an AI model that accurately predicts microsatellite instability (MSI) and a tumor's responsiveness to immune checkpoint inhibitors. This breakthrough technology is expected to provide a path to […]