🔵 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: https://t.co/agu2bW3pBI
I'm German.
16 years ago, the EU and US economies were neck and neck.
Today, the US economy is 50% larger than the entire EU combined.
Here's the devastating truth behind Europe's ongoing economic suicide 🧵:
Check out our latest preprint on an interface for using #LLMs with health data that dynamically directs inference to the cloud, "fog" nodes on the local network, and on-device, balancing privacy & efficiency. Truly innovative work led by @PhilippZagar! https://t.co/Vf4EvZfnUt
Enhancing PRIVACY and REDUCING COSTS in healthcare by using Fog Computing ☁️ with LLM execution for health care ⚕️
Combine this with access to your health records via FHIR APIs and future for improved understanding of your health is bright 🌞
Do you use #Spezi in your projects? Let us know and share your work in our GitHub discussions section: https://t.co/cftcSNLcOS
We would like to hear from you what you like and what can be improved. #opensource contributors are always more than welcome! 🎉
Congrats to @PhilippZagar, who completed a masters thesis with our group on “Shifting Language Model Inference to the Edge: Balancing Trust and Capabilities in Mobile Digital Health” and starts a new position at @Apple this week on the Health team!
Congrats @andreas_bauer_ and @PhilippZagar! Great memories building really cool stuff with you! You have pushed the boundaries of #digitalhealth and left your mark on everything we do 🚀 Once a member, always a member of the @StanfordBDHG family!
Last day for our two masters students, @PhilippZagar & @andreas_bauer_ from @TU_Muenchen
Who worked on …
1) Privacy Compliant GenAI Applications in Digital Health
2) Neurodevelopment Assessment & Monitoring System
They both contributed significantly to our @StanfordBDHG@StanfordSpezi mobile development ecosystem -> all open-source
Congrats! 🎉 the future is bright 🚀
@ggerganov We build an easy llama.cpp iOS integration within our Spezi framework: https://t.co/tIJwBqWPH2
No need to handle low-level C calls, the framework abstracts all that away!
Do you want to get experience building real-world Digital Health applications?
Join CS342 this Winter Quarter, building apps with the Stanford Spezi framework! (https://t.co/Ucw5NTHdao)
Here is a link to more information/syllabus: https://t.co/V0LHgEq6I8
Have a digital health idea you have been dreaming of getting an MVP for? Today is the last day to submit your RFP to have it built in our CS342 class using the @StanfordSpezi framework. We are open to taking proposals from any academic institution or industry partner. 🚀
https://t.co/fOGSaaJNI4