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

A Singaporean research team has developed CAN-Scan (short for Cancer Scan), a next-generation precision oncology platform ...

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

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

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

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 ...

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

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

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

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

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

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