Project Predicting All-Cause Mortality Risk Scores in Duchenne Muscular Dystrophy Using Machine Learning Program Engineering First Time Researcher (FTR) Fellowship Term Spring 2026 Status Closed Research Area Artificial Intelligence Description In Duchenne muscular dystrophy (DMD), cardiopulmonary failure remains the most common cause of death. While researchers continue to develop targeted cardiovascular treatments for DMD, there are currently no FDA-approved cardiac endpoints for these therapies. Selecting suitable endpoints and understanding their progression is essential for designing well-powered clinical trials. This study aimed to utilize machine learning algorithms to predict risk scores for all-cause mortality in DMD patients by analyzing cardiac magnetic resonance imaging data and blood biomarkers, and to identify which specific measures are linked to overall mortality risk in this population. Supervisor Guang Lin Mentor Type of work required Data analysis, AI and machine learning code development Websites Qualifications familiar with PyTorch, python programing, machine learning Credit Hours 3 Weekly Hours 10 (estimated)