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

Cardiovascular disease is a major cause of death worldwide. New diagnostic tools are
needed to provide early detection and intervention to reduce mortality and increase both the …

In combination with current sociological trends, the maturing development of Internet of
Things devices is projected to revolutionize healthcare. A network of body-worn sensors …

Use of machine learning (ML) in clinical research is growing steadily given the increasing
availability of complex clinical data sets. ML presents important advantages in terms of …

Background: Mobile phone apps capable of monitoring arrhythmias and heart rate (HR) are
increasingly used for screening, diagnosis, and monitoring of HR and rhythm disorders such …

With the digitization of all records and processes, and prevalence of cloud-driven services
and Internet of Things, today's era can truly be considered as an era of data. Machine …

Aims Atrial fibrillation (AF) is the most common sustained arrhythmia and an important risk
factor for stroke and heart failure. We aimed to conduct a systematic review of the literature …

Gyrocardiography (GCG) is a new non-invasive technique for assessing heart motions by
using a sensor of angular motion–gyroscope–attached to the skin of the chest. In this study …

In recent years, cardiovascular diseases are on the rise, and they entail enormous health
burdens on global economies. Cardiac vibrations yield a wide and rich spectrum of essential …

There has been an exponential growth of artificial intelligence (AI) and machine learning
(ML) publications aimed at advancing our understanding of atrial fibrillation (AF), which has …