Researchers from Sanford Burnham Prebys and the Chinese University of Hong Kong have developed a computational approach to predict whether a person with type 2 diabetes will develop kidney disease, a frequent and dangerous ...
May 15, 2023
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Researchers at the Neural Computation Institute of Ruhr University Bochum, Germany, have constructed a computer model that learns spatial information in a pattern similar to that of rodents.
May 9, 2023
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Despite the astounding advances made in understanding the biologic underpinnings of cancer, many cancers are missing obvious genetic drivers. When scientists can't pinpoint the factors that drive cancer, treating it can be ...
May 4, 2023
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Are you feeling blue—or seeing red? Maybe turning green with envy? You're not alone in color-coding your emotions, University of Toronto researchers say in a new paper confirming associations between feelings and certain ...
May 4, 2023
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A multi-institutional study on dengue led by researchers at the Indian Institute of Science (IISc) shows how the virus causing the disease has evolved dramatically over the last few decades in the Indian subcontinent.
May 1, 2023
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Glioblastoma multiforme (GBM) is the most aggressive and common malignant type of brain tumor, accounting for 16% of all primary brain tumors. Andrea Olsen from Oslo, Norway; Zachary Harpaz from Boca Raton, Florida; and Chris ...
May 1, 2023
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The more vividly a person imagines something, the more likely it is that they believe it's real, finds a new study by University College London researchers.
Apr 21, 2023
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An all-RIKEN team of neuroscientists has mapped out neurons in the mouse visual system that are selectively activated during decision-making, and may directly influence this process. To achieve this, they combined a cleverly-crafted ...
Apr 19, 2023
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With the FDA authorizing a second bivalent booster this week for individuals at high risk from COVID-19 and the CDC expected to sign off on it as well, a recent Houston Methodist study may offer some guidance on when certain ...
Apr 19, 2023
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A team of medical researchers, engineers and computer scientists affiliated with multiple institutions across the U.S. has found that machine learning technology can help doctors predict which patients are at risk of developing ...
