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BMES 4642 Biomedical Artificial Intelligence Research and Innovation 3.0 Credits

A project‑driven course where students design and execute original research in biomedical machine learning and artificial intelligence. Projects span deep learning, large language models, multimodal biomedical data, clinical text mining, and imaging or omics applications. Students work closely with faculty mentors, conduct literature‑guided model development, and produce publication‑ready analyses, reports, and presentations.

College/Department: College of Engineering and Computing/Sch of Biomedical Engineering
Repeat Status: Not repeatable for credit
Prerequisites: BMES 1610 [Min Grade: D] and MATH 2901 [Min Grade: D]