Scientists from the European Molecular Biology Laboratory (EMBL) and the German Cancer Research Center (DKFZ) have developed an AI model that assesses the long-term individual risk for more than 1,000 diseases. The model, which was trained and tested using anonymized medical data from the UK and Denmark, can predict health events over a period of more than a decade.

Researchers have discovered part of the answer to why some people with obesity or diabetes develop fatty liver disease while others remain healthier. They showed that fat cells have their own protective mechanism that prevents them from dying prematurely under stress. If this mechanism fails, the fat cells disintegrate. This can lead to tissue damage, inflammation and serious metabolic disorders.

Why is blood cancer particularly aggressive in some patients? Researchers at Ulm University Hospital have characterised a mutation in the so-called NOTCH1 gene that significantly influences the prognosis of chronic lymphocytic leukaemia (CLL). Remarkably, this mutation is located in the non-coding region of the gene – an area of DNA long considered less relevant for disease mechanisms.

On the basis of the cooperative relations that have developed over time, Heidelberg University and Harvard University are going to deepen and expand their cooperation. They have signed a Memorandum of Understanding to that effect. As an institutional internationalization project, the state of Baden-Württemberg is providing ten million euros to support this initiative, which is part of the state’s “Global Partnership in Science” activities.

Medical image analysis - 25/09/2025

Powerful AI systems using synthetic training data

AI systems for image analysis are only as good as the data on which they are trained. The Göppingen-based start-up MIRA Vision has developed a novel method for generating synthetic, photorealistic images, enabling the efficient creation of large, high-quality training datasets. An intuitive platform also allows researchers to evaluate microscopy images with ease.

The ‘Photon-Counting’ (PC)-CT consortium received funding in the next round of funding from the Forum Health Region Baden-Württemberg. The aim of the new consortium was to install the image data infrastructure ‘teamplay digital health platform connect’ (tdhp) at four clinical sites for digital exchange in the follow-up project PC3-AIDA.

Hier werden die abgeschlossenen Projekte gesammelt.

Since their discovery in 2004, the grid cells in the brain, which are important for our orientation, have been regarded as a kind of “GPS in the head.” However, scientists at the DKFZ and Heidelberg University Hospital have now shown that grid cells work much more flexibly than previously assumed. In experiments with mice, the researchers found that the cells adapt their activity to different reference points depending on the situation.

About five percent of lung adenocarcinomas, one of the most common forms of lung cancer, are driven by a faulty fusion of two genes, EML4 and ALK. This fusion results in different variants, and until now, clinicians have treated all patients with these fusions the same way. However, new research led by scientists from the German Cancer Research Center (DKFZ) and Stanford University shows that not all fusion variants behave alike.

With the FeMEA project – Ferroelectric Microelectrodes for Biomedical Applications – Hahn-Schickard is setting a pioneering course in bioelectronics research. The aim of the project is to develop novel microelectrode arrays in which ferroelectric materials are used as functional interfaces in CMOS chips for the first time.

Researchers from the Cluster of Excellence CIBSS have demonstrated that an actin scaffold stabilizes the cell nucleus upon mechanical stress. This protective mechanism helps cancer cells to avoid dying during their migration in the body. In the long term, targeted interventions in this mechanism could help to prevent metastases.