MicroRNAs (miRNAs) are small regulatory molecules post-transcriptionally suppressing
mRNA activity. Many miRNAs in various organisms have been cloned but many unknown …

Previously it has been demonstrated that telehealth (TH) could help cover the gaps in health
attention in remote locations. Today the expanded capabilities have transformed TH …

Mounting evidence has highlighted the implementation of big data handling and
management in the healthcare industry to improve the clinical services. Various private and …

Optical sensors play an increasingly important role in the development of medical diagnostic
devices. They can be very widely used to measure the physiology of the human body …

Background Artificial intelligence (AI) has influenced all aspects of human life and neurology
is no exception to this growing trend. The aim of this paper is to guide medical practitioners …

Medical device manufacturers are increasingly applying artificial intelligence (AI) to innovate
their products and to improve patient outcomes. Health institutions are also developing their …

Machine learning is increasingly integrated into clinical practice, with applications ranging
from pre-clinical data processing, bedside diagnosis assistance, patient stratification …

Medicine's ability to quickly respond to challenges raises questions from researchers,
practitioners, and society as a whole. Our task in this study was to identify key and atypical …

Abstract Heart Rate Variability Biofeedback (HRVB) has been widely used to improve
cardiovascular health and well-being. HRVB is based on breathing at an individual's …

Time series analysis is a key technique for extracting and predicting events in domains as
diverse as epidemiology, genomics, neuroscience, environmental sciences, economics, and …