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The Times of Israel on MSNScientists develop model to understand rare brain disease found in 40 kids worldwideTel Aviv University researchers say their investigation into a GRIN2D gene mutation will advance research into a protein ...
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Neuroscientists want to understand how individual neurons encode information that allows us to distinguish objects, like ...
Researchers at the Gray Faculty of Medical and Health Sciences at Tel Aviv University have developed a model that accurately ...
AI model crossNN identifies over 170 tumor types with high accuracy using genetic material, offering fast, non-invasive ...
MIT study reveals long-term ChatGPT use may impair brain function, showing decreased neural connectivity compared to those ...
When faced with a tricky maze task involving hidden information, humans instinctively toggle between two clever mental ...
However, the reliance on AI can be a double-edged sword. Another study from MIT found that extended use of LLMs for research ...
Ekaterina Shanina, a PhD student at the University of California, Davis, has won the Physics in Medicine & Biology Early ...
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News-Medical.Net on MSNUncovering the link between viruses and neurodegeneration through primate modelsIn a comprehensive Genomic Press Innovators & Ideas interview, Dr. Danielle Beckman reveals how her passion for microscopy ...
Explore the top 10 breakthrough medical innovations transforming healthcare and saving lives through cutting-edge science, AI ...
New research has deciphered how neuronal networks in the cerebral cortex quickly reorganize to compensate for lost neurons, with other nerve cells taking over the tasks of the lost neurons.
"Our model allows a very precise diagnosis of brain tumors in 99.1 percent of all cases and is more accurate than the AI solutions at work to date," as Philipp Euskirchen related.
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