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

Previously called dynamic audience expansion, the feature uses machine learning to analyse targeting and engagement data to ...

The CT-based whole-lung radiomic nomogram accurately identifies AECOPD and offers a robust tool for clinical diagnosis and treatment planning.

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

ARC Raiders' use of AI has sparked some heated debate online, and for good reason, given the game's intended story about ...

Researchers explored how machine learning and quantum computing can be used to improve early detection of chronic kidney ...

Data-driven planning aids in the design of feasible clinical trials from the outset, by simulating enrollment before the ...

In earlier times, cells would have to be hand-checked, in a process that took time and effort and offered little reward.

The kidney is one of the body's most vital organs, responsible for filtering waste, balancing electrolytes and maintaining overall health. Any impairment to its function can lead to serious and often ...

RS, a high-service global product and service solutions provider for industrial customers, offers Omron Automation's Value ...

Overview Demand for diverse, high‑quality datasets is increasing rapidly as AI models scale.Leading firms now combine ...