MDSI – Shaping the Future with Data

Medical reports written in technical terminology can pose challenges for patients. A team at the Technical University of Munich (TUM) has investigated how artificial intelligence can make CT findings easier to understand. In the study, reading time decreased, and patients rated the automatically… [read more]

The 5th MDSI General Assembly, held on November 20, 2025, provided the appropriate occasion for the presentation of the MDSI Best Paper Awards 2025. Prof. Ali Sunyaev, Vice President of TUM Campus Heilbronn, and Prof. Stephan Günnemann, Executive Director of the MDSI, honored the first authors of… [read more]

Spatial transcriptomics is one of the most exciting omics profiling technologies to date. Depending on the technology used, it enables researchers to study gene expression even at sub-cellular resolution. In the Novo Nordisk Foundation-funded international project MOPITAS (Multi-omics Profiling in… [read more]

Again, the MDSI Core Members Prof. Bernhard Küster, Prof. Daniel Rückert and Prof. Fabian Theis are among the most frequently cited scientists worldwide, as the new edition of the “Highly Cited Researchers” ranking for the years 2014 to 2024 shows. [read more]

Rare diseases affect over 300 million people worldwide, yet most patients wait 5-7 years for a correct diagnosis. This blog explores how AI tools like knowledge graphs and machine learning are revolutionizing rare disease diagnosis, making it faster and more accurate for patients who need answers… [read more]