Deep learning variant calling has transformed genomic accuracy. Discover how DeepVariant works, outperforms classical tools, ...
Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...
Researchers at the University of Tokyo and the Innovation Center of NanoMedicine (iCONM) have developed an artificial ...
Researchers have developed AdapGNN, a novel model-agnostic framework that addresses the oversmoothing problem in graph neural networks (GNNs) for ...
AI analysis of snoring sounds may help identify the source of upper airway obstruction and support non-invasive sleep ...
A neural network image analysis method will help track the movement of microparticles in the Earth's atmosphere and space.
A high-performance biodegradable pressure sensor has been developed as a key technology for wearable AI health care robotics ...
On July 7, 2026, the Federal Circuit affirmed summary judgment that claims of two machine learning patents covering orthodontic image analysis ...
A new study details the development of a cerebellum-inspired memtransistor engineered from atomically thin molybdenum disulfide.
An artificial intelligence (AI)-based wearable patch capable of autonomously analyzing not only biosignals such as ...
Conventional AI continuously analyzes incoming data even when nothing has changed, wasting energy on unnecessary computation. Researchers developed a cerebellum-inspired memtransistor that ignores ...
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.
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