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The German Federal Ministry of Education and Research (BMBF) is funding the new collaborative project CausalNet with nearly two million euros. The goal: to develop a new generation of machine learning over the next three years that can understand…

Icon, Computational Health, Featured Publication

A new computational tool called Moslin is gaining attention in biomedical research by helping scientists better understand how cells make decisions during critical biological processes like development, disease progression, and tissue healing. The…

A team of researchers has unveiled Tumoroscope, a computational method that offers unprecedented insight into the spatial evolution of tumors and the intricate behaviors of cancer cell populations, known as clones. Published in Nature Communications,…

A visualization of a machine learning model deployment with predictions being made on new data. The environment, Generative AI

The Helmholtz Association has announced the winners of its second Helmholtz Foundation Model Initiative call, with Helmholtz Munich playing a key role in two of the three selected projects. These innovative projects – VirtualCell and PROFOUND – are…

Interview with Prof. Matthias Tschöp about health research and prevention with cutting-edge tools.

A team of computational biologists from Helmholtz Munich has been honored with the "Frontiers of Science" award at the International Congress of Basic Science (ICBS) in Beijing. Researchers Fabian Theis, Alexander Wolf, and Philipp Angerer received…

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New Collaborative Project: Artificial Intelligence That Recognizes Causal Relationships

New Tool Maps Cell Paths to Help Understand Development and Healing

Tumoroscope Technology Uncovers Cancer Clone Behavior

Helmholtz Foundation Model Initiative Funds Two Pioneering Helmholtz Munich Projects

Modern Prevention of Health with AI and Bioengineering

Helmholtz Munich Team Wins “Frontiers of Science” Award