Parkinson's disease, the second most common type of progressive dementia after Alzheimer's disease, affects nearly 1 million people in the U.S. and an estimated 10 million individuals worldwide. Each year, close to 90,000 ...
Feb 23, 2024
0
53
A simple blood test to diagnose Alzheimer's disease soon may replace more invasive and expensive screening methods such as spinal taps and brain scans.
Feb 22, 2024
0
68
A team of Rutgers undergraduates has shown that an experimental drug known as Yoda1 may help drain cranial waste plus neurotoxins that cause Alzheimer's disease and other forms of dementia.
Feb 19, 2024
0
92
An HKUST-led international research collaboration has achieved a significant milestone in Alzheimer's disease (AD) diagnosis and management. The team has developed a cutting-edge blood test for the early detection of AD and ...
Feb 19, 2024
0
31
Researchers at Karolinska Institutet have made exciting discoveries about Alzheimer's disease, a common form of dementia affecting millions of people around the world. In a study published in Alzheimer's & Dementia, they ...
Feb 16, 2024
0
3
Calorie-filled meals with little nutrition are suspected of having an impact on decision-making and of causing an overweight trap.
Feb 15, 2024
0
0
Many neurodegenerative diseases, such as Alzheimer's and Parkinson's diseases, are characterized by the accumulation of protein clumps, or aggregates, in the brain, which has led scientists to assume that the protein tangles ...
Feb 13, 2024
0
163
Have you ever wondered what happens in the brain when we move to the right or left? Most people don't; they just do it without thinking about it. But this simple movement is actually controlled by a complex process.
Feb 12, 2024
0
20
Improving the way scientists can see the microscopic structures of the brain can improve our understanding of a host of brain diseases, like Alzheimer's or multiple sclerosis. Studying these diseases is challenging and has ...
Feb 10, 2024
0
26
Generative artificial intelligence (AI), utilizing deep learning to generate a patient's brain network from multimodal images, has a valuable application in brain network analysis. However, existing data-driven models face ...
Feb 7, 2024
0
0
