Researchers studied the impact of daily life movement to cardiovascular disease risk using a machine-learning algorithm and found ... (2022, February 22). Daily activities like washing dishes ...

New algorithm disentangles intrinsic brain patterns from sensory inputs Date: February 14, 2024 Source: University of Southern California Summary: Scientists have developed a new machine learning ...

For example, the widely used pharmaceutical cholinesterase inhibitors are beneficial in the symptomatic treatment and help maintaining activities of daily living in Alzheimer’s disease patients.

The tool is a machine learning-type algorithm called CYCLOPS that can sift through existing data on gene activity in human tissue samples to identify genes whose activity varies with a daily rhythm.

Abstract: State-of-the-art in-home activity recognition schemes with wearable devices are mostly capable of detecting coarse-grained activities (sitting, standing, walking, or lying down), but can't ...