🧪 #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
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
Don't forget there is a fantastic seminar today at 2pm EST! Open to all online and please join us to hear more about fantastic work with ML for arterial health classification.🧪
🔗 duke.is/CompHealth-April-Seminar
#AIforhealth #CompHealth
Excited to share our latest work on how arterial waveform shape impacts blood flow simulations. 🩸
We pinpoint which parts of the waveform most influence hemodynamics—across coronary, carotid & pulmonary arteries.
🔗 duke.is/wavelet
#DigitalTwins #CFD #HPC #CompHealth @dukeubme.bsky.social 🧪
