Livestock breeders could soon have more tools to improve the health and quality of their animals, thanks to a recent study ...
Abstract: Brain-Machine Interfaces (BMIs) for motor function restoration face a key challenge in decoding complex neural signals. While Recurrent Spiking Neural Networks (RSNNs) are promising for this ...
Discussion The principal conclusion of this study is that ensemble machine learning models, particularly XGBoost, demonstrated superior ability to predict acute kidney injury in patients with ...
When you hear "brain-computer interface," you probably picture surgery, wires and a chip in your head. Now picture something quieter. No implant. No incision. Just sound waves directed at the brain.
Abstract: Current brain-machine interfaces (BMIs) often rely on decoders trained for single tasks, limiting their flexibility in real-world applications. We propose an online learning framework that ...
A clump of human brain cells can play the classic computer game Doom. While its performance is not up to par with humans, experts say it brings biological computers a step closer to useful real-world ...
To the naked eye, Annie Kathuria’s experiments look a bit like tiny tufts of cotton floating in pink Petri dishes. These unassuming orbs are clusters of millions of human brain cells called brain ...
O. Rose Broderick reports on the health policies and technologies that govern people with disabilities’ lives. Before coming to STAT, she worked at WNYC’s Radiolab and Scientific American, and her ...
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