systems

For millions of people with epilepsy and movement disorders such as Parkinson's disease, electrical stimulation of the brain already is widening treatment possibilities. In the future, electrical stimulation may help people with psychiatric illness and direct brain injuries, such as stroke. However, studying how brain networks interact with each other is complicated. Brain … [Read more...] about New AI algorithm to improve brain stimulation devices to treat disease

Many electronic devices today are dependent on semiconductor logic circuits based on switches hard-wired to perform predefined logic functions. Physicists from the National University of Singapore (NUS), together with an international team of researchers, have developed a novel molecular memristor, or an electronic memory device, that has exceptional memory … [Read more...] about Brain-inspired memory device: Reconfigurable device can simplify semiconductor circuit design and enhance computational power and speed

Researchers at Case Western Reserve University have developed an online tool to help medical staff quickly determine which COVID-19 patients will need help breathing with a ventilator. The tool, developed through analysis of CT scans from nearly 900 COVID-19 patients diagnosed in 2020, was able to predict ventilator need with 84% accuracy. "That could be important for … [Read more...] about Researchers use artificial intelligence to predict which COVID-19 patients will need a ventilator to breathe

In an article published in the journal Patterns, scientists at the Icahn School of Medicine at Mount Sinai described the creation of a new, automated, artificial intelligence-based algorithm that can learn to read patient data from electronic health records. In a side-by-side comparison, they showed that their method, called Phe2vec (FEE-to-vek), accurately identified patients … [Read more...] about Scientists create a labor-saving automated method for studying electronic health records: Study suggests new method is as effective as manually-based ‘gold-standard’ at classifying a diagnosis

In a discovery published in the journal Nature, an international team of researchers has described a novel molecular device with exceptional computing prowess. Reminiscent of the plasticity of connections in the human brain, the device can be reconfigured on the fly for different computational tasks by simply changing applied voltages. Furthermore, like nerve cells can store … [Read more...] about New molecular device has unprecedented reconfigurability reminiscent of brain plasticity: Device can be reconfigured multiple times simply by changing applied voltage

Photons -- fundamental particles of light -- are carrying these words to your eyes via the light from your computer screen or phone. Photons play a key role in the next-generation quantum information technology, such as quantum computing and communications. A quantum emitter, capable of producing a single, pure photon, is the crux of such technology but has many issues that … [Read more...] about Quantum emitters: Beyond crystal clear to single-photon pure

A gecko's tail is a wondrous and versatile thing. In more than 15 years of research on geckos, scientists at the University of California, Berkeley, and, more recently, the Max Planck Institute for Intelligent Systems in Stuttgart, Germany, have shown that geckos use their tails to maneuver in midair when gliding between trees, to right themselves when falling, to keep from … [Read more...] about These geckos crash-land on rainforest trees but don’t fall, thanks to their tails: Scientists find another use for lizards’ versatile tails: Stabilization after headfirst crashes

With an average accuracy of 88%, a deep learning technology offers rapid genetic screening that could accelerate the diagnosis of genetic syndromes, recommending further investigation or referral to a specialist in seconds, according to a study published in The Lancet Digital Health. Trained with data from 2,800 pediatric patients from 28 countries, the technology also … [Read more...] about Machine learning tool detects the risk of genetic syndromes in children with diverse backgrounds: The technology can potentially reduce health inequality in under-resourced areas worldwide

Researchers in the life sciences who use machine learning for their studies should adopt standards that allow other researchers to reproduce their results, according to a comment article published today in the journal Nature Methods. The authors explain that the standards are key to advancing scientific breakthroughs, making advances in knowledge, and ensuring research findings … [Read more...] about Standards for studies using machine learning