A high-performance biodegradable pressure sensor has been developed as a key technology for wearable AI health care robotics ...

The wiring and rewiring of the brain never ends. Neural pathways are constantly being reshaped as we interact with the world ...

Artificial intelligence applied to the ECG is expanding the clinical role of this widely available diagnostic tool beyond ...

Neural networks, what we commonly call artificial intelligence or AI, are good at detecting patterns, which is why there are ...

Deep learning variant calling has transformed genomic accuracy. Discover how DeepVariant works, outperforms classical tools, ...

Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...

A new study developed a snore-source classification model that uses STFT spectrograms, pretrained CNN features, and an L2-regularized SVM to identify where snoring originates in the upper airway.

Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...

Amazon Alexa on-device AI now runs in millions of Echo homes, but Panos Panay’s July 2026 CNBC interview reveals the split: ...

Researchers have developed an artificial intelligence model capable of tracking a person’s sleep stages using only three ...

Single neurons in mouse sensorimotor cortex are organized by their activity features into distinct subpopulations with area-spanning footprints whose boundaries align closely with anatomical and ...

Abstract: Brain tumor classification is a crucial task to evaluate the tumors and make a treatment decision according to their classes. There are many imaging techniques used to detect brain tumors.