Introduction Efficient preventive management of acute exacerbation of chronic obstructive pulmonary disease (COPD) is ...
A new algorithm could drive breakthroughs in understanding cancer, Alzheimer's disease and other potentially fatal conditions ...
From genome sequencing to single-cell multi-omics profiling, bioinformatic data holds massive promise, calling for data interpretation to facilitate the development of precision medicine with ...
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 ...
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.
The early stage pathogens of plant diseases have the characteristic of low concentration and difficult detection, which exacerbates the difficulty of tracing the disease, leading to rapid spread and ...
Associations of “Weekend Warrior” Physical Activity With Incident Disease and Cardiometabolic Health
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 ...
The use of observed wearable sensor data (e.g., photoplethysmograms [PPG]) to infer health measures (e.g., glucose level or blood pressure) is a very active area of research. Such technology can have ...
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 ...
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 ...
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