Machine learning models that use electronic health record data to predict obstructive sleep apnea had greater performance than two screening questionnaires, according to a poster presented at SLEEP ...

Abstract: This work deals with the fabrication and validation of an innovative wearable single-channel electroencephalogram (EEG) system, designed for real-time monitoring of specific brain activity.

Achievement of guideline-recommended levels of physical activity (≥150 minutes of moderate-to-vigorous physical activity per week) is associated with lower risk of adverse cardiovascular events and ...

Amanda Randles wants to copy your body. If the computer scientist had her way, she’d have enough data — and processing power — to effectively clone you on her computer, run the clock forward, and see ...

I am Mubashir Iqbal, a Computer Science professional with a Master’s from COMSATS University Islamabad and a Bachelor’s from Virtual University Pakistan. Currently, I serve as a Lecturer at HITEC ...

Multisystem Inflammatory Syndrome observed Post-COVID-19: The Role of Natural Products, Medicinal Plants and Nutrients and the use of Prediction Tools Supporting Traditional Forms of Diagnosis ...

We proposed a diffuse imaging approach for universal noninvasive blood glucose measurements based on visible light, which can predict the blood glucose concentration without personal calibration. The ...

Depression is disabling and treatable, but underdiagnosed. In this study, we show that the content shared by consenting users on Facebook can predict a future occurrence of depression in their medical ...