Duke’s Biomedical Engineering Ph.D. sits at the forefront of neuro-prosthetics, organ-on-chip systems, and AI medical imaging. Candidates 3-D print vascularized tissues, build graphene-based brain–computer interfaces, and deploy deep-learning diagnostics on global-health ultrasound. Dual mentorship with clinicians ensures rapid clinical translation and entrepreneurship boot-camps support spin-out ventures.
Hydrogel scaffold delivering gene-edited stem cells for spinal repair
AI-guided point-of-care ultrasound for low-resource fetal monitoring
Soft robotic exosuit for pediatric gait therapy
Optogenetic retinal prosthesis with graphene micro-LEDs
Paper-based CRISPR diagnostics for antimicrobial resistance
Deep RL algorithm tuning closed-loop DBS in Parkinson’s patients
Blockchain traceability of implantable device data
Organ-on-chip model testing mRNA-lipid nanoparticle toxicity
VR surgical rehearsal integrating patient-specific CT scans
Nanoparticle photoacoustic probe targeting tumor hypoxia
Citizen-science phone app collecting heart-sound data for AI training
Self-healing vascular graft using peptide cross-linkers
Wearable sweat metabolite sensor for cystic-fibrosis monitoring
Policy brief on equitable distribution of AI medical devices
Invent and translate life-changing health technologies through Duke BME.
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