🧪 #CompHealth Corner: High-channel neural interfaces are here—but routing dense pad grids is a major hurdle. This new paper from #CCDHI member Jonathan Viventi introduces an efficient, automated algorithm to optimize trace paths and layer count in thin-film devices. #Neuroengineering #HCI

🧪 When doctors track heart disease, they need scans over time—but aligning them is tough, tedious, and subjective. We built an algorithm that automates alignment, saving time and effort.

Read more 👉 duke.is/align24

@dukeengineering.bsky.social #research #comphealth #CCDHI #cardiovascular

🧪As the nursing shortage grows, robotics powered by physical AI may help extend care. This #CCDHI article shows how nurses can lead in designing ethical, human-centered robotic systems to support—not replace—care. A must-read for future-ready healthcare. #CompHealthCorner #AIinNursing

Excited to share that two papers from our group were accepted to #ICCS2025! 🧪

Congrats to Aristotle Martin and Samreen Mahmud on leading work in adaptive physics for cancer transport and digital twins for single-cell analysis. More soon! 🎉

#DigitalTwins #CCDHI #CompHealth @dukeubme.bsky.social

🎓 Senior BME student Venkata Srikar Kavirayuni tackled AI-driven drug discovery in his GWDD project, using generative models to map cell states to novel molecules. Mentored by @pranam.bsky.social, his work on Metric Flow Matching shows promise for targeted cell reprogramming! 🧪

#CompHealth #CCDHI