Sunassee Wins NIH F99/K00 Predoctoral to Postdoctoral Fellow Transition Award
The prestigious honor will fully fund the interdisciplinary cancer research of Enakshi Sunassee, a fifth-year PhD chemical and biomedical engineering student at Duke
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Research Traineeship Programs Prepare the Next Generation of Engineers
The National Science Foundation-supported traineeship led by Duke MEMS aims to transform how graduate students engage with surgical technologies
Soundwaves Harden 3D-Printed Treatments in Deep Tissues
A specialized ink hardens when exposed to focused ultrasound waves, transforming into biologically compatible structures
Wilson Wins IEEE Medal for Innovations in Healthcare Technology
Distinction honors the contributions of Blake Wilson to the cochlear implant, which has helped restore the hearing of more than a million people worldwide
Preparing Students for the Design and Technology Innovation Roles of Tomorrow
Duke launches a new Master of Engineering in Design and Technology Innovation
Expanding CRISPR’s Access to the Genome
New enzyme allows CRISPR technologies to accurately target almost all human genes
Collins, Franklin Elected IEEE Fellows
Duke ECE’s two newest fellows advanced the fields of signal processing and imagined new applications for nanomaterial-enhanced electronics
Invented at Duke 2023
Invented at Duke 2023 showcased a bustling innovation ecosystem at the university, including several Duke Engineering startups
Putting Stronger Guardrails Around AI
Executive-in-Residence Lee Tiedrich, an expert in AI law and policy, recently spoke about the new AI executive order and various AI legislative proposals.
Modeling a Strategy to Storm a Biofilm’s Walls
Computational modeling is searching for a weak spot in the armor of a common infection of cystic fibrosis patients
Seeing Cancer’s Spread Through a Computational Window
Computational model allows researchers to simulate cellular-scale interactions across unprecedented distances in the human vasculature
Measuring Long-Term Heart Stress Dynamics With Smartwatch Data
A new “digital twins” computational framework captures personalized arterial forces over 700,000 heartbeats to better predict risks of heart disease and heart attack