Stanford Spezi的动态

Celebrating the conclusion of this year's CS342 Building for Digital Health course at Stanford University! Our teams of talented computer science and medical students collaborated with clinical faculty and industry partners to develop six innovative healthcare solutions using the Stanford Spezi open-source ecosystem of modules. Their impressive projects include: - Early prediction systems for neutropenic fever - Novel non-invasive detection methods for cardiovascular disease - Mobile interventions targeting childhood obesity - Addressing feeding challenges in newborns - Continuous, accurate cough measurement tools for chronic respiratory conditions The students overcame significant technical challenges, including developing their own on-device AI models, integrating data from novel Bluetooth devices, and creating intuitive, engaging user interfaces. I'm incredibly proud of their achievements and excited to see these solutions advance to clinical and research implementation. Next week, we're headed to Sweden to collaborate with Torbj?rn Lundh, Peter Kelly, MD, Stefan Candefjord and their team to launch a similar program at Chalmers University of Technology, marking the first time our course has been replicated internationally! Follow Stanford Biodesign Digital Health and Stanford Mussallem Center for Biodesign to learn more about these groundbreaking projects! I'd like to extend my sincere congratulations and thanks to my exceptional colleagues on the teaching team Paul Schmiedmayer, Aydin Zahedivash, Nick Riedman, Adrit Rao, Felix M. Schlegel, Meghana Nerurkar, Leon Nissen, our project mentors Henry Wei, Meera Sankar, Janey Pratt, Astrid Androsch, Johannes Jung, Thomas Kaar and our course directors Oliver Aalami and Carlos Guestrin for the incredible opportunity to teach for the fourth consecutive year!