Researchers at Yale University have developed a method of leveraging artificial intelligence (AI) neural networks to reveal larger patterns of activity of individual cells that come from several individuals.
The AI neural network, called SAUCIE (Sparse Autoencoder for Clustering, Imputation, and Embedding), can reveal minute cellular differences within individuals, as well as broader patterns that describe how the body functions.
The new method will allow researchers to identify larger clusters of cellular activity that could shed light on the basis of a host's pathogens.
For example, the team used SAUCIE to analyze 20 million cells from 60 patients and identify rare Gamma-Delta T cell types that regulate how the body responds to the virus that causes Dengue fever.
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Abstracts Copyright © 2019 SmithBucklin, Washington, DC, USA