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A new grant will enable biologists at Rochester, Brown, and New York University to explore potential targets of treatments and therapeutics for neurodegenerative diseases.
Experts at USC are using neural imaging to gain a deeper understanding of how sleep quality impacts the brain clearance process, a potential predictor of Alzheimer’s for the community at greatest risk for the disease.
Among older Americans surveyed in the weeks after FDA approval of aducanumab, few could correctly answer true or false questions about the first new Alzheimer’s drug in decades.
In a scientific first, researchers at the University of California, Irvine have discovered fundamental mechanisms by which the hippocampus region of the brain organizes memories into sequences and how this can be used to plan future behavior.
Mouse study of human stroke medication reveals potential defense against Alzheimer’s disease and other forms of dementia.
A USC team is using machine learning tools to detect early-onset Alzheimer’s disease by examining speech patterns.
A diet containing compounds found in green tea and carrots reversed Alzheimer’s-like symptoms in mice genetically programmed to develop the disease, USC researchers say.
Harvard Medical School geneticists have created a new model-in-a-dish of sporadic Alzheimer’s disease that removes a major obstacle for scientists seeking to pinpoint the causes of sporadic Alzheimer’s and find drugs that might prevent or reverse its devastating neurodegenerative effects.
In a new study, USC researchers used machine learning to identify potential blood-based markers of Alzheimer’s disease that could help with earlier diagnosis and tracking the progress of the disease.
A simple blood test reliably detects signs of brain damage in people on the path to developing Alzheimer’s disease – even before they show signs of confusion and memory loss, according to a new study from Washington University School of Medicine in St. Louis and the German Center for Neurodegenerative Diseases in Germany.