The National Cancer Institute (NCI) awarded a $589,425 Project Grant under the Cancer Cause and Prevention Research program (CFDA 93.393) to The Medical College of Wisconsin, Inc. to conduct the "MULTI-COHORT VALIDATION OF MACHINE LEARNING RADIOGENOMIC MODELS (ML-RGX) TO PREDICT LATE TOXICITY IN PROSTATE CANCER" project. The goal is to develop and validate machine learning models that combine genomic and radiation dose-volume data to predict the risk of late genitourinary and gastrointestinal toxicities in prostate cancer patients undergoing radiotherapy. The project will leverage data and biospecimens from large NRG Oncology clinical trials to build and externally validate these predictive models. Additionally, Sloan-Kettering Institute For Cancer Research received a $XXX,XXX sub-award to contribute to this research effort. The findings could enable personalized treatment planning and risk mitigation strategies to improve quality of life for prostate cancer survivors.
Generated 3/4/25, 6:11 AM