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Showing posts with the label Dementia

Light-activated protein may help normalize dysfunction in cells, study shows

New research from the University of Cincinnati is showing early indications that light could be used as a treatment for certain ailments, including cancer. Researchers from UC, University of Illinois Urbana-Champaign and University at Buffalo published the results of their study showing light-activated proteins can help normalize dysfunction in cells in the journal. Nature Communication July 25. Research findings Research centers on the function of mitochondria, the organelles in cells that act as the cell’s “power generator” and source of energy. Organelles are small specialized structures that perform various jobs in the cell. Jiajie Diao, PhD, one of the study’s authors, says hundreds of mitochondria are constantly coming together (a process called fusion) and dividing into smaller pieces (a process called fission) to keep them in balance in healthy cells. But when mitochondria don’t function properly, an imbalance of these fission and fusion processes occurs. This imbalance can

Can Computers Diagnose Alzheimer's Disease and Dementia? - Neuroscience News

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Summary: New machine learning algorithms are able to accurately detect cognitive impairment by analyzing voice recordings. Source: Boston University It takes a lot of time—and money—to diagnose Alzheimer’s disease. After running a lengthy face-to-face neuropsychological exam, the doctor must copy, review, and analyze each response in detail. But researchers at Boston University have developed a new tool that could automate the process and eventually allow it to move online. Their machine learning-powered computational model can detect cognitive impairment from audio recordings of neuropsychological tests—no in-person appointment required. Their findings were published in Alzheimer’s & Dementia: Journal of the Alzheimer’s Association . “This approach brings us one step closer to early intervention,” said Ioannis Paschalidis, co-author of the paper and BU College of Engineering Distinguished Professor of Engineering. He said faster early detection of Alzheimer’s could prompt larger

New computational model can detect cognitive impairment from audio recordings of neuropsychological tests

It takes a lot of time and money to diagnose Alzheimer’s disease. After running a lengthy face-to-face neuropsychological exam, the doctor must copy, review, and analyze each response in detail. But researchers at Boston University have developed a new tool that could automate the process and eventually allow it to move online. Their machine learning-powered computational model can detect cognitive impairment from audio recordings of neuropsychological-tests; no in-person appointment required. Their findings were published in Alzheimer’s & Dementia: Journal of the Alzheimer’s Association . “This approach brings us one step closer to early intervention,” said Ioannis Paschalidis, co-author of the paper and BU College of Engineering Distinguished Professor of Engineering. He said faster early detection of Alzheimer’s could prompt larger clinical trials that focus on individuals in the early stages of the disease and potentially enable clinical interventions that slow cognitive