Stanford Biodesign Digital Health
@stanfordbdhg.bsky.social
Education, Research, and Translation of Digital Health at the Stanford Mussallem Center for Biodesign of Stanford University. https://bdh.stanford.edu/
Huge thanks to the instructors and leadership team incl. @draalami.bsky.social @vishnuravi.bsky.social, Aydin Zahedivash @pschmiedmayer.bsky.social Adrit Rao from Stanford and Torbjörn Lundh, Stefan Candefjord, Peter Kelly from Chalmers University of Technology and Sahlgrenska University Hospital.
September 6, 2025 at 3:22 PM
Huge thanks to the instructors and leadership team incl. @draalami.bsky.social @vishnuravi.bsky.social, Aydin Zahedivash @pschmiedmayer.bsky.social Adrit Rao from Stanford and Torbjörn Lundh, Stefan Candefjord, Peter Kelly from Chalmers University of Technology and Sahlgrenska University Hospital.
Their innovation won the course pitch competition, earning them visit to us at Stanford to connect with researchers, IVF specialists & explore Silicon Valley's digital health ecosystem! They presented at the Nordic Innovation House in Silicon Valley as the perfect capstone 🚀
September 6, 2025 at 3:22 PM
Their innovation won the course pitch competition, earning them visit to us at Stanford to connect with researchers, IVF specialists & explore Silicon Valley's digital health ecosystem! They presented at the Nordic Innovation House in Silicon Valley as the perfect capstone 🚀
..in Sweden, including analog systems with complex & lengthy processes, long wait times, language barriers & time-pressed doctors. Applying the Biodesign process, they developed a digital solution that helps patients seamlessly navigate the IVF journey.
September 6, 2025 at 3:22 PM
..in Sweden, including analog systems with complex & lengthy processes, long wait times, language barriers & time-pressed doctors. Applying the Biodesign process, they developed a digital solution that helps patients seamlessly navigate the IVF journey.
Our team benchmarked the leading on‑device inference models for healthcare, demonstrating that fine‑tuned LLaMa variants deliver state‑of‑the‑art performance directly on mobile and embedded devices - enabling private, offline AI‑driven diagnostics right out of your pocket: arxiv.org/abs/2502.08954
May 14, 2025 at 6:50 PM
Our team benchmarked the leading on‑device inference models for healthcare, demonstrating that fine‑tuned LLaMa variants deliver state‑of‑the‑art performance directly on mobile and embedded devices - enabling private, offline AI‑driven diagnostics right out of your pocket: arxiv.org/abs/2502.08954