Continuous monitoring of biomarkers is essential for early disease detection, treatment evaluation, and personalized health ...

The broader shift is toward forecasting rather than reacting. Instead of detecting disease only after it crosses a threshold, systems will track trends that indicate future risk. The value of next ...

Miniaturizing gas chromatography has long been constrained by the need for external pumps and valves, limiting portability, ...

The Impact of AI in Banking and Financial Services, evaluates how machine learning and natural language processing can be ...

With the development of brain-computer interface (BCI) technology, the application of electroencephalography (EEG) signals in motion decoding has been ...

It quietly reinforces the idea that the more visibly sensory-sensitive someone appears, the “more autistic” they must be, that autism is best understood, and managed, through equipment, and that ...

For example, a Convolutional Neural Network (CNN) trained on thousands of radar echoes can recognize the unique spatial signature of a small metallic fragment, even when its signal is partially masked ...

A new transceiver invented by electrical engineers at the University of California, Irvine boosts radio frequencies into 140-gigahertz territory, unlocking data speeds that rival those of physical ...

In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...

Researchers from Regensburg and Birmingham overcome a fundamental limitation of optical microscopy. With the help of quantum mechanical effects, they succeed for the first time in performing optical ...

Life science research institutions worldwide are increasingly adopting wireless implantable telemetry systems to overcome traditional limitations in continuous physiological monitoring. The technology ...