Innovative applications of AI are transforming biomedical fields, from decoding complex physiological signals in healthcare wearables to engineering nanobodies against SARS-CoV-2 using virtual labs. Deep learning models enhance MRI diagnostics and control of nonlinear systems, while hybrid AI approaches improve detection of physiological motion artifacts. Such interdisciplinary integration accelerates precision medicine, enables rapid therapeutic design, and optimizes device functionality across diverse biomedical contexts.