Background Digital therapeutics are patient-facing digital health interventions that can
significantly alter the health care landscape. Despite digital therapeutics being used to …

The digital twin (DT) is a concept widely used in industry to create digital replicas of physical
objects or systems. The dynamic, bi-directional link between the physical entity and its digital …

Digital health and wearable technologies represent a transformative wave in healthcare,
blending medical advancements with innovative technology to enhance patient care …

Wearable devices, or wearables, designed to be attached to the human body, can gather
personalized real-time data and continuously monitor an individual's health status and …

Digital twins, which are in silico replications of an individual and its environment, have
advanced clinical decision-making and prognostication in cardiovascular medicine. The …

Wearable biosensors are a fast-evolving topic at the intersection of healthcare, technology,
and personalized medicine. These sensors, which are frequently integrated into clothes and …

This study examines the relationship between self-reported and physiologically measured
sleep quality and their impact on neurocognitive performance in individuals with depression …

The purpose of this research is to identify and evaluate the technical, ethical and regulatory
challenges related to the use of Artificial Intelligence (AI) in healthcare. The potential …

Digital sensing tools, like smartphones and wearables, offer transformative potential for
mental health research by enabling scalable, longitudinal data collection. Realizing this …

Leveraging artificial intelligence (AI) for the analysis of electrocardiograms (ECG) has the
potential to transform diagnosis and estimate the prognosis of not only cardiac but …