Improving brain imaging techniques for Alzheimer's disease diagnosis

SCH: Novel and Interpretable Statistical Learning for Brain Images in AD/ADRDs

['FUNDING_R01'] · GEORGE MASON UNIVERSITY · NIH-11076331

This study is working on new ways to look at brain scans to find better signs of Alzheimer's disease, helping doctors make more accurate diagnoses and treatment plans for patients.

Quick facts

Phase['FUNDING_R01']
Study typeNih_funding
SexAll
SponsorGEORGE MASON UNIVERSITY (nih funded)
Locations1 site (FAIRFAX, UNITED STATES)
Trial IDNIH-11076331 on ClinicalTrials.gov

What this research studies

This research focuses on enhancing the analysis of brain imaging data to better identify biomarkers for Alzheimer's disease and related disorders. By utilizing advanced three-dimensional imaging techniques, the study aims to capture more detailed information that traditional one-dimensional measures may miss. The research team will develop new statistical models and computing tools to analyze complex imaging data alongside genetic and clinical information. This approach seeks to improve the accuracy of diagnosis and treatment planning for patients with Alzheimer's and related conditions.

Who could benefit from this research

Good fit: Ideal candidates for this research include individuals showing early signs of Alzheimer's disease or related dementias.

Not a fit: Patients with advanced Alzheimer's disease or those not exhibiting any cognitive decline may not benefit from this research.

Why it matters

Potential benefit: If successful, this research could lead to more accurate and early diagnoses of Alzheimer's disease, improving patient outcomes.

How similar studies have performed: Previous research has shown promise in using advanced imaging techniques for Alzheimer's diagnosis, suggesting that this approach could yield significant advancements.

Where this research is happening

FAIRFAX, UNITED STATES

Researchers

About this research

  1. This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
  2. Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
  3. For full project details, budget, and progress reports, visit the official NIH RePORTER page below.

View on NIH RePORTER →

Conditions: aging associated disease

Last reviewed 2026-05-15 by the Find a Trial editorial team. Information on this page is for educational purposes and is not medical advice. Always consult qualified healthcare professionals about clinical trial participation.