Wearable devices can read health data and use less battery. See how a new system helps tiny processors work longer and ...

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

Spatially and temporally overlapping target and distractor are both rhythmically sampled at ~1 Hz, and the phase relationship between target sampling and distractor sampling predicts behavior.

Ultrafiltration membranes used in pharmaceutical manufacturing and other industrial processes have long relied on separating ...

Explore the first part of our series on sleep stage classification using Python, EEG data, and powerful libraries like ...

Researchers successfully developed a machine learning-based method for predicting symptom deterioration in patients with cancer.

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

Recently, a research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has developed a ...

The rapid development and integration of artificial intelligence (AI), including predictive, generative, and emerging agentic ...

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