activity
20232026
most citedInsulin Resistance Prediction From Wearables and Routine Blood Biomarkers

3 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

RubricsTree: Scalable and Evolving Open-Ended Evaluation of Personal Health Agents across Health Memory and Medical Skills

Weizhi Zhang, Zechen Li, Hamid Palangi +16

The LLM-empowered personal health agents with user health (sensor) metrics have offered a promising pathway to alleviate global disparities in healthcare access. However, large-sca…

cs.LG2026

GlucoFM: A Dual-Stream Foundation Model for Continuous Glucose Monitoring

Zechen Li, Keerthana Natarajan, Weizhi Zhang +11

Continuous glucose monitoring (CGM) provides a dense view of daily metabolic physiology, yet existing generic time-series and CGM-specific foundation models often encode glucose tr…

q-bio.QM2026

Beyond BMI: Smartphone Body Composition Phenotyping for Cardiometabolic Risk Assessment

Menglian Zhou, Arno Charton, Emily Blanchard +19

Body Mass Index (BMI) is a widely accessible but imprecise proxy of cardiometabolic health. While assessing true body composition is superior, gold-standard methods like Dual-Energ…

cs.LG2025★ 3 cited

Insulin Resistance Prediction From Wearables and Routine Blood Biomarkers

Ahmed A. Metwally, A. Ali Heydari, Daniel McDuff +9

Insulin resistance, a precursor to type 2 diabetes, is characterized by impaired insulin action in tissues. Current methods for measuring insulin resistance, while effective, are e…

cs.LG2023

BrainZ-BP: A Non-invasive Cuff-less Blood Pressure Estimation Approach Leveraging Brain Bio-impedance and Electrocardiogram

Bufang Yang, Le Liu, Wenxuan Wu +3

Accurate and continuous blood pressure (BP) monitoring is essential to the early prevention of cardiovascular diseases. Non-invasive and cuff-less BP estimation algorithm has gaine…