Artificial intelligence in biomedicine: A key to analyzing millions of individual cells

Our bodies are made up of around 75 billion cells. But what function does each individual cell perform and how greatly do a healthy person's cells differ from those of someone with a disease? To draw conclusions, enormous quantities of data must be analyzed and interpreted. For this purpose, machine learning methods are applied. Researchers have now tested self-supervised learning as a promising approach for testing 20 million cells or more.

Our bodies are made up of around 75 billion cells. But what function does each individual cell perform and how greatly do a healthy person's cells differ from those of someone with a disease? To draw conclusions, enormous quantities of data must be analyzed and interpreted. For this purpose, machine learning methods are applied. Researchers have now tested self-supervised learning as a promising approach for testing 20 million cells or more.

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