UCSF chosen as CDC Center of Excellence to advance dementia care
Business Announcement
In honor of Alzheimer's Awareness Month, we’re exploring the science and stories surrounding Alzheimer’s disease.
Updates every hour. Last Updated: 21-Oct-2026 21:17 ET (22-Oct-2026 01:17 GMT/UTC)
As part of a nationwide clinical trials network for Alzheimer's disease, UC San Diego will help coordinate participating clinical trial sites and standardize how studies are conducted across the network.
A Lehigh University-led research team has received a $2.8 million grant from the National Institutes of Health to develop UniBrain, an AI-enabled platform designed to streamline brain imaging analysis. Led by computer scientist Lifang He, the multi-institutional project aims to simplify complex neuroimaging workflows, expand access to advanced analysis tools, and accelerate research on neurological diseases such as Alzheimer’s and Parkinson’s.
A new international study, led by Lund University, Sweden and Nagoya University, Japan, shows that changes associated with Alzheimer’s disease may affect how rapidly ALS progresses. In time, the findings may contribute to more reliable individual prognoses and better-designed clinical trials.
Artificial intelligence (AI) could transform care for older adults and people living with dementia, but few tools have successfully moved from research into routine clinical practice.
A new national initiative at Duke aims to close this gap.
The Duke Artificial Intelligence and Technology Collaboratory for Aging: Governance and Evaluation (Duke AITC-AIGE) is one of five centers in the National Institute on Aging’s Artificial Intelligence and Technology Collaboratories program selected to receive funding to create a national resource for advancing trustworthy AI in aging and Alzheimer’s disease and related dementias.
Blood-based biomarkers (BBMs) are revolutionary blood tests that can detect Alzheimer's disease (AD) brain changes earlier, cheaper and more easily than traditional methods such as Aβ-PET scans which are expensive and have limited accessibility. However, blood tests do not always give a clear yes-or-no answer. One of the most promising blood markers, called p-Tau217, can leave a substantial number of people with an uncertain diagnosis. Patients within this “gray zone” may need an expensive brain scan or other testing to determine whether amyloid, a key feature of Alzheimer’s disease, is present.
To address this problem, researchers at Boston University Chobanian & Avedisian School of Medicine and the University of Connecticut have developed and tested a two-step approach called Gatekeeper‐Reflex model for AD (GRAD)—a step-by-step blood-testing strategy that could resolve many of these uncertain results. While promising, the researchers caution that GRAD is not ready to replace confirmatory imaging and still needs to be tested prospectively before use in routine clinical care.