Anti-amyloid therapy does not change short-term waste clearance in Alzheimer’s
Peer-Reviewed Publication
In honor of Alzheimer's Awareness Month, we’re exploring the science and stories surrounding Alzheimer’s disease.
Updates every hour. Last Updated: 13-Dec-2025 23:11 ET (14-Dec-2025 04:11 GMT/UTC)
Researchers compared MRI scans of the brain before and after treating Alzheimer's disease with the amyloid-targeting drug lecanemab. They found no significant short-term changes in waste clearance, highlighting the complexity of the disease.
Alzheimer’s Disease (AD), the leading cause of dementia, affects nearly 40 million individuals globally, resulting in a gradual loss of memory and independence. Despite extensive research over the past decades, no treatments have been found that can halt or reverse the progression of this devastating disease. A groundbreaking international study shows how boosting a natural molecule can help restore memory in animal models of Alzheimer’s disease. The new study offers hope for developing new therapies for patients with Alzheimer’s disease.
In a real-world clinical trial, published in JAMA Network Open, researchers demonstrate that a fully digital AI zero-cost method for detecting dementia can be scaled across primary care clinics. This breakthrough represents a major step forward in translating AI and patient-reported outcomes into everyday clinical care. By integrating scalable digital tools that operate seamlessly within existing health systems, the research team demonstrated how technology can strengthen early detection and improve outcomes for older adults as well as reduce burdens on primary care teams. The AI tool, which has been in development for more than 10 years at Regenstrief Institute, is a machine learning algorithm that uses natural language processing to analyze data from electronic health records. It identifies information such as memory issues, vascular concerns and other factors linked to dementia.