Using deep learning to find brain blood vessel issues in Alzheimer's disease

Who could benefit from this research

What this research studies

This research investigates how disruptions in the neurovascular unit (NVU) contribute to Alzheimer's disease. By employing advanced deep learning techniques, the study aims to analyze molecular changes in brain cells that are often overlooked using traditional methods. The research will utilize single-cell RNA sequencing to identify specific gene expression patterns in low-abundant cells, such as endothelial cells and pericytes, which are crucial for maintaining brain health. This approach seeks to enhance our understanding of the cellular interactions that are impaired in Alzheimer's, potentially leading to new insights into the disease's progression.

Why it matters

Where this research is happening

• University of Minnesota
  Minneapolis, United States Active

Researchers

• Principal investigator: Kandimalla, Karunya Kumar — University of Minnesota
• Study coordinator: Kandimalla, Karunya Kumar

Related research

Other NIH-funded projects on the same topics.

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  NIH research University of Minnesota · Minneapolis, United States · NIH-11329241

• Global shared-AI network to improve Alzheimer's detection and prediction

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• AI-built genetic map to understand Alzheimer's disease

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  NIH research University of Texas Hlth Sci Ctr Houston · Houston, United States · NIH-11180316

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.