With an international research team, Fabian Theis, Professor of Mathematical Modeling of Biological Systems, created a #SingleCellAtlas of the #HumanLung using #AI-based techniques. It offers a unique picture of how diseased lungs differ from healthy ones: http://go.tum.de/258510

#machinelearning #datascience

📷A.Eckert

First Integrated Single-Cell Atlas of the Human Lung

Can a human organ be mapped on a single-cell level, to learn about the functionality of each individual cell? And can we learn how different these cells are from person to person? International researchers have taken up this challenge and developed the Human Lung Cell Atlas, using artificial intelligence (AI)-based techniques. This atlas elucidates the diversity of single lung cell types and allows learning about lung biology in health and disease.