Sudden Unexpected Death in Epilepsy (SUDEP) is a devastating and often unpredictable loss for families. Today, doctors do not have reliable tools to identify who is at highest risk. Our project brings together clinical records, genetic information, seizure and sleep data, and decades of research to better understand why SUDEP happens. Using advanced artificial intelligence, this team aims to make advances that will facilitate the development of a personalized risk prediction tool that can estimate an individual’s SUDEP risk and clearly explain the reasons behind it. By identifying high-risk patterns earlier, this work aims to guide prevention strategies, support families with meaningful information, and ultimately reduce epilepsy-related deaths.