3 papers
cs.LG2026
GlucoFM-Bench: Benchmarking Time-Series Foundation Models for Blood Glucose Forecasting
Baiying Lu, Zhaohui Liang, Ryan Pontius +2
Blood glucose forecasting models are foundational for modern diabetes management systems, as reliable short-term predictions can enable proactive interventions, support automated i…
cs.LG2025
An Adaptive Machine Learning Triage Framework for Predicting Alzheimer's Disease Progression
Richard Hou, Shengpu Tang, Wei Jin
Accurate predictions of conversion from mild cognitive impairment (MCI) to Alzheimer's disease (AD) can enable effective personalized therapy. While cognitive tests and clinical da…
cs.LG2025
PPG-Distill: Efficient Photoplethysmography Signals Analysis via Foundation Model Distillation
Juntong Ni, Saurabh Kataria, Shengpu Tang +3
Photoplethysmography (PPG) is widely used in wearable health monitoring, yet large PPG foundation models remain difficult to deploy on resource-limited devices. We present PPG-Dist…