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 ...

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

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

This paper introduces a novel AI-enhanced retirement planning platform that integrates behavioral economics principles with advanced machine learning techniques to optimize financial decision-making.

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

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

If AI-generated video and audio get good enough, deepfake detectors based on visual artifacts or other traditional signals ...

Understanding the exposome reveals how environmental factors influence health through epigenetics and oxidative stress, ...

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

Joint components contributed substantially to model performance, while distinct components captured phase-specific variations.

In industrial and industrial IoT (IIoT) applications, PMICs address key power challenges such as high efficiency, robustness, ...

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