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Two ever-popular courses in Duke’s Master of Engineering for MedTech Design program led by industry-seasoned faculty exemplify the program’s value.

Nimmi Ramanujam and colleagues are bringing AI‑powered cervical imaging to clinics in Kenya and rethink how diagnosis could work everywhere.

Amanda Randles simulates blood flow at the level of individual red blood cells, sometimes hundreds of millions of them across simulations spanning roughly 700,000 heartbeats.

By transforming movement into data, Timothy Dunn is reshaping how scientists can study behavior and the brain.

Biomedical engineering professor recognized for pioneering technologies that transform women’s cancer care worldwide.

Intellectual Community Planning Grants are helping Duke Engineering faculty tackle big issues like global cancer disparities, insuring increasing climate risks and securing the nation's supply of critical minerals.

Amanda Randles explains how she uses physics-based, computationally intensive simulations to develop new ways to diagnose and treat human disease.

In this interview, Dr. Daniel Reker discusses how machine learning is improving data-scarce areas of drug discovery.

Wilson shares this prize for his contributions to the development of the cochlear implant.

Warren Grill's work with School of Medicine colleagues indicates that stimulating the vagus nerve system could reduce brain inflammation and disruptions in attention and awareness following surgery.

Pengfei Song is part of a team led by the University of Alberta, which has received an ARPA-H award to create high-resolution, 3D ultrasound for lymphedema imaging.