Applying artificial intelligence techniques to cardiac ultrasound data may make it easier to identify patients with advanced heart failure, a new study has found. The study—led by investigators at ...
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 ...
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 ...