I worked on one of the first wearable foundation models in 2018. The innovation of this 2025 paper from Apple is moving up to a higher level of abstraction: instead of training on raw sensor data (PPG, accelerometer), it trains on a timeseries of behavioral biomarkers derived from that data (e.g., HRV, resting heart rate, and so on.).

They find high accuracy in detecting many conditions: diabetes (83%), heart failure (90%), sleep apnea (85%), etc.

Is there a way to run this on your own data? I’ve been wearing my Apple Watch for years and would love to be able to use it better.

Has anyone seen the publishing of the weights or even an API release?

i love this because I build in medtech, but the big problem is no open weights, nor open data.

you can export your own apple XML data for usage and processing, but if you want to create an application and request apple XML data from users, that likely crosses into clinical research territory with data security policy requirements and de-identification needs.

Can someone explain what "wearable foundation" means?