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Improved understanding of diseases leads to earlier detection, cures
By Emir Mustafa Isler  |  Aug 08, 2024
Improved understanding of diseases leads to earlier detection, cures
Image courtesy of and under license from Shutterstock.com
This episode of the Delta Dialog examines the intersection of AI, ML, and healthcare. Dr Sara Moein, a researcher in the field, sheds light on how these technologies are being applied to genetic and healthcare data to improve understanding of diseases such as Alzheimer's and various types of cancer.

AMSTERDAM - The second part of this discussion with The Yuan contributor Dr Sara Moein begins with an introduction to single-cell RNA sequencing, a powerful tool for understanding disease mechanisms at the cellular level. Moein explains how this tech identifies different cell types and subtypes within brain tissue, revealing the diversity of cells affected by Alzheimer’s disease. Single-cell RNA sequencing analyzes gene expression in individual cells, making it crucial for the early detection of Alzheimer’s and other complex diseases.

Moein highlights how single-cell RNA sequencing contributes to Alzheimer’s research by detecting disease mechanisms through pathway analysis and by identifying dysregulated pathways specific to Alzheimer’s. This new technology provides insights into cell-specific gene expression profiles, aiding in the understanding of disease pathology, while also detecting unique molecular signatures and cellular interactions - which are essential for understanding the progression of Alzheimer’s and other diseases.

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