Cleveland Foundation

Real-Time Symptom and Wearable Monitoring May Improve Prediction of Postoperative Recovery in Lumbar Spine Surgery Beyond Standard Measures

BACKGROUND AND OBJECTIVES: Accurately identifying candidates likely to benefit from surgery and addressing modifiable preoperative risk factors are central to optimizing outcomes. Current prediction tools often rely on static clinical data and patient-reported measures, which lac...

The blood system in Ukraine: Experience in martial law conditions

BACKGROUND/CASE STUDIES: Efficient blood and blood components supply is key to the stable operation of a health care system, especially to a civilian population and military under martial law. The blood system is an important component of a state's defense capability and national...

A foundation model for sleep-based risk stratification and clinical outcomes

Abstract Clinical sleep studies capture multiple physiologic signals, yet interpretation is often reduced to single summary measures of limited prognostic value, such as the apnea–hypopnea index. We present a foundation model that learns rich representations of sleep physiology f...