September 1, 2025
We’ve been thrilled to see so many people reach out with projects built from our recent papers:
1. Engineering Digital Biomarkers of Interstitial Glucose from Noninvasive Smartwatches 🔗 https://lnkd.in/gYSVYbJ
2. Non-invasive Wearables for Remote Monitoring of HbA1c and Glucose Variability: Proof of Concept 🔗 https://lnkd.in/eGyRJTir
3. Personalized Machine Learning Models for Noninvasive Glucose Prediction Using Wearables 🔗 https://lnkd.in/euGBx4E6
Our papers included a data release and machine learning pipeline for predicting glucose levels from smartwatch, food log, and demographic data—featuring both personalized and population models, along with code for feature engineering, model training, and validation of glucose prediction models using wearable and food log data.
A common question we’ve heard is: “Do you have code for reproducing the results end-to-end?”
The answer is now yes! 🎉
Thanks to Dr. Brinnae Bent, PhD, the study’s lead author, who has put together a brand-new repository that makes it simple to:
✅ Reproduce the paper’s results
✅ Dive into the dataset hands-on
✅ Build new ideas on top of it
Repository 👉 https://lnkd.in/eZGmhWSh
Dataset 👉 https://lnkd.in/eGP4CZiX
We’d love to see what you can do with this data! Please reach out with questions, ideas, or to share your own projects.
Here are just a few inspiring recent publications using the dataset:
📄 JMIR Diabetes by Miyakoshi & Ito
🔗 https://lnkd.in/euw6YPWV
📄 MDPI Sensors by Karunarathna & Liang
🔗 https://lnkd.in/eDGxHxmi
📄 IEEE CBMS by Koutny & Ubl
🔗 https://lnkd.in/er_R3jAi
Excited to see the creativity and impact this community continues to bring!