Wearables, Mobile Health (m-Health), Real-Time Monitoring Share and Cite: Alqarni, A. (2025) Analysis of Decision Support ...

Whether infection of cells by individual virions occurs randomly or if there is some form (s) of competition or cooperativity between individual virions remains largely unknown for most virus-cell ...

An artificial intelligence (AI) algorithm paired with the single-lead electrocardiogram (ECG) sensors on a smartwatch ...

Conclusions: There is a potential mismatch between what clinicians identify as important in determining palliative care need and final eligibility determinations. Patients with dementia were less ...

Quantum mechanics has at last been formulated exclusively with real numbers, bringing a mathematical puzzle at the heart of ...

We show that, compared with surgeon predictions and existing risk-prediction tools, our machine-learning model can enhance ...

This AI-driven intrusion detection system integrates blockchain and federated learning, ensuring robust security for 6G ...

The hybrid model is emerging as the framework for trustworthy AI in test analytics. It retains traceability and supports ...

Research reveals AI algorithm in smartwatches can accurately identify structural heart diseases, enabling early intervention ...

The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

The human body relies on precise genetic instructions to function, and cancer begins when these instructions get scrambled.

Coronary artery disease (CAD) remains a leading cause of morbidity and mortality worldwide, and CT imaging plays a crucial ...