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Our latest analysis demonstrates that smartphones can effectively run LLMs on device for medical AI applications requiring clinical reasoning—with even older devices generating responses faster than human reading speed, all while keeping sensitive medical data private. All the

Excited to share our latest preprint from our group at Stanford Biodesign Digital Health ! 🚀 We show that privacy-preserving, on-device AI for medical applications is feasible with real-world benchmarks. Read more & start building with Stanford Spezi! 🔗 arxiv.org/abs/2502.08954

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Struggling to visualize Apple #HealthKit data in your SwiftUI iOS app? The new *HealthKitQuery* and *HealthChart* features in SpeziHealthKit make it easy! Excellent work by Lukas Kollmer from our Stanford Biodesign Digital Health team 🚀 🔗github.com/StanfordSpezi/…

From Classroom to Publication! 🎉📄 Exciting news—our research, which began as a collaboration in Stanford’s Building for Digital Health course, has now been published in JMIR Formative Research! 🚀 Enhancing Distress Tolerance Skills in Adolescents With Anorexia Nervosa Through

Great work by our team and a project that emerged right out of our CS342 class at Stanford 🚀 Excited to see the usage of Stanford Spezi in more and more research apps!

Say goodbye to complex Bluetooth integrations! SpeziBluetooth makes it effortless to retrieve and connect to known devices. Great work by Andi , Lukas Kollmer, Paul Schmiedmayer, and our Spezi team: github.com/StanfordSpezi/…

We have wrapped up another incredible quarter of the Building for Digital Health course at Stanford with the amazing help from Oliver Aalami , Adrit Rao , Nick Riedman, Vishnu Ravi, MD, Paul Schmiedmayer, and Aydin Zahedivash! #DigitalHealth Stanford Spezi

Our trip to Sweden to replicate our Stanford Biodesign Digital Health Building for Digital Health course at Chalmers University of Technology is off to a great start - we explored today and look forward to meeting our students tomorrow and introducing them to Stanford Spezi!

We were honored to help kick off a new Digital Health Implementation course in collaboration with Chalmers University of Technology and Sahlgrenska University Hospital in Gothenburg, Sweden. This course is based on our flagship CS342 Building for Digital Health course at

Sahlgrenska Hospital 🏥 and Chalmers University 🎓have the perfect ecosystem for digital health innovation especially given the “single” payer system incentivizing prevention and prediction. 🇸🇪

Amazing to expand CS342 to Sweden and share the work of Stanford Biodesign Digital Health and our Stanford Spezi ecosystem with more students, researchers, and innovators in Sweden! 🇸🇪

Checkout SpeziLLM; a great way to integrate LLMs in digital health applications including on-device LLM execution: github.com/StanfordSpezi/… 🚀

Great work by our team; excited about an other great system built using Stanford Spezi. Great job by Andi who built NeuroNest!🚀

We had a wonderful time introducing students to our CS342 course at Chalmers University of Technology in Sweden! 🇸🇪 Always great to expand the ecosystem and share Stanford Spezi with more students 🚀

Incorporating clinicians and computer scientists in a multidisciplinary team is the secret of success; congratulations to Oliver Aalami, Vishnu Ravi, MD, Aydin Zahedivash, and everyone in our team who aims to be a medical doctor in the future 🚀

We had a great time giving a keynote presentation and in-depth workshop on the Stanford Biodesign process at the Hasso-Plattner-Institut Digital Health Innovation Forum last week. A huge effort by all of our Stanford Biodesign Digital Health team, enabling us to share our research, teaching, and translation efforts 🚀

🤔 How do we navigate the tradeoffs between privacy, cost, and performance when using #LLMs with health data? Cloud-based LLMs offer impressive capabilities, but sending sensitive health data to the cloud raises privacy concerns, and processing even typical health records can be

🔵 Easily onboard users to your digital health app with SpeziOnboarding! 🔵 Onboarding in digital health apps can be complex and time-consuming to build — SpeziOnboarding makes it simple with just a few lines of code! Explore more on GitHub: github.com/StanfordSpezi/…

Applications for our Stanford Biodesign Innovation Fellowship are now open! Apply at bit.ly/BiodesignFellow 🚀