Abstract: In recent years, the need for continuous and real-time monitoring of civil infrastructures has intensified due to increasing incidences of structural degradation and the limitations of ...
A powerful new real-world data platform could transform how scientists predict and understand Alzheimer's disease and Alzheimer's disease-related dementias (AD/ADRD), reports a new study at Columbia ...
Researchers developed a scalable framework that predicts insulin resistance using wearable-device signals, routine blood biomarkers, and demographic data, with stronger performance when these data ...
Heart disease is the leading cause of adult death worldwide, making cardiovascular disease diagnosis and management a global health priority. An echocardiogram, or cardiac ultrasound, is one of the ...
Abstract: Wireless Sensor Networks (WSNs) are widely used in a variety of applications, but energy efficiency is still a major concern. Accurate energy prediction can dramatically improve network ...
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