Multimodal AI for Breast Cancer Subtype Analysis and Precision Therapy Recommendation

This project aims to develop a multimodal AI system that analyzes diverse breast cancer data—including histopathology, clinical, genetic, and imaging data—to accurately determine cancer subtypes and recommend personalized treatment. The system is designed to improve diagnostic precision and reduce reliance on expensive, expert-driven methods. By integrating all relevant data sources, the AI model will provide a low-cost, scalable solution that supports precision medicine and expands access to high-quality breast cancer care.