Predicting Immunotherapy Outcomes in Colorectal Cancer Using Machine Learning and Multi-Omic Biomarkers: Development of a Real-Time Predictive Web Application

Key Points

• The aim is to develop a predictive model for immunotherapy outcomes in colorectal cancer using machine learning and multi-omic biomarkers.
• Analyzed multi-omic data from colorectal cancer cases.
• Developed a machine learning predictive model.
• Created a web application for real-time outcome prediction.
• Identified key multi-omic biomarkers associated with therapeutic response.
• Achieved high accuracy in predicting immunotherapy outcomes for colorectal cancer patients.