Recent advances in generative AI help to explain how memories enable us to learn about the world, relive old experiences and construct totally new experiences for imagination and planning, according to a new study by UCL ...
Jan 19, 2024
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The first documented case of pancreatic cancer dates back to the 18th century. Since then, researchers have undertaken a protracted and challenging odyssey to understand the elusive and deadly disease. To date, there is no ...
Jan 18, 2024
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A comprehensive study that integrates multiple analytic approaches has linked a regulatory gene network and functional defects in insulin-producing pancreatic beta cells to type 2 diabetes. The study, published Nov. 8 in ...
Nov 8, 2023
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Mycobacterium tuberculosis (Mtb) is the pathogen that causes tuberculosis (TB), the world's deadliest infectious disease. Mtb is so successful and harmful because it can adapt to different conditions inside our bodies, allowing ...
Aug 8, 2023
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An international collaboration between researchers at the RIKEN Center for Brain Science (CBS) in Japan, the University of Tokyo, and University College London has demonstrated that self-organization of neurons as they learn ...
Aug 7, 2023
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The moment a pitcher unleashes a fastball in the direction of Toronto Blue Jays shortstop Bo Bichette in a professional baseball game, the crowd at Rogers Centre hopes something special is about to happen. But while they ...
Jun 27, 2023
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Mount Sinai researchers have developed an innovative artificial intelligence (AI) model for electrocardiogram (ECG) analysis that allows for the interpretation of ECGs as language. This approach can enhance the accuracy and ...
Jun 6, 2023
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We've all recently gotten a crash-course in drug repurposing, thanks to near-daily news reports about efforts to identify existing medicines that could help treat COVID-19 in the early phase of the pandemic. A team of scientists ...
May 9, 2023
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Researchers at Ghent University in Belgium report abnormalities in functional neural networks of dogs diagnosed with anxiety. Led by Yangfeng Xu (Ghent Experimental Psychiatry Lab, GHEP; ORSAMI), and Emma Christiaen (Medical ...
Mar 15, 2023
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By sifting through electronic health records of moms and babies using a machine-learning algorithm, scientists can predict how at-risk newborns will fare in their first two months of life. The new method allows physicians ...
Feb 16, 2023
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