John Shufeldt School of Medicine and Medical Engineering: Focuses on AI-driven clinical diagnostics and therapeutics (software as a medical device), translational biomedical sciences, advanced multi-modal data fusion (across medical imaging, electronic health record, -omics, and other data sources), AI integrated into medical devices (such as brain computer interface), and precision health approaches (AI informed clinical decision support tools). Research Domains: Wearables for remote monitoring, AI-driven diagnostics and therapeutics (including generative AI models), multimodal data fusion (EHR + multi-omics), personalized health, Software as a Medical Device (SaMD), ambient generative AI for clinical documentation, wearable device data feedback loops, and cognitive ergonomics for seamless point-of-care clinical workflows.