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