Konstanz biologist Patrick Müller receives a Proof of Concept Grant from the European Research Council for his project "EmbryoNet-AI". Its goal is the further development of an AI-supported platform for the automated evaluation of experiments – for example, in drug development.

Young patients suffering from two aggressive sarcoma types can now participate in the innovative PAMSARC therapy study at the NCT Heidelberg. The study uses molecular biological methods and tests the extent to which a new drug can improve the poor prognosis for these tumours.

Dr. Petr Chlanda, virologist and research group leader at the Heidelberg Medical Faculty of Heidelberg University, has been awarded more than 720,000 euros in funding from the European Union for his research into new therapies against viruses. His work is part of the interdisciplinary, international DEFENDER project, which is developing innovative approaches to combat emerging and re-emerging viruses.

A research team from Freiburg and Frankfurt has discovered how cells recognise and internally break down waste. The results are relevant for the development of therapies for diseases such as Alzheimer’s.

Antibodies can improve the rehabilitation of people with acute spinal cord injury. Researchers at 13 clinics in Germany, Switzerland, the Czech Republic and Spain have investigated this with promising results. For the first time, it was possible to identify patient groups that displayed a clinically relevant treatment effect. A follow-up study will start in December 2024.

The Gottfried Wilhelm Leibniz-Prize 2025 goes to Prof. Dr Robert Zeiser for his outstanding research in haematology and immunology. Zeiser’s research at the University of Freiburg and the Medical Center – University of Freiburg have led, among other things, to new types of cancer therapy that has increased survival rates and the patients’ quality of life.

Researchers at the Medical Faculty of Heidelberg University and the Heidelberg University Hospital have used modified rabies viruses to label glioblastoma tumour cells and their direct cell contacts in the mouse brain. The new method showed that the tumour cells are connected to different types of nerve cells throughout the entire brain at a very early stage of the disease.

Dossier: Innovative animal-free research in Baden-Württemberg - 05/12/2024

Mini-organs and multi-organ chips - where lab mice may soon retire

Farewell to animal testing? Life sciences researchers in BW are pioneering innovative methods to replace animal experiments, reduce the number of animals used and refine the procedures and conditions under which animals are kept. These are the guiding principles of the 3Rs principle. Developing cutting-edge models and establishing a robust 3R network, not only shapes the future of research but also improves the quality of scientific outcomes.

On 25 November, the German Research Foundation (DFG) announced the continued funding of two existing Collaborative Research Centres (CRC) at the University of Freiburg’s Faculty of Medicine. In CRC 1453 Nephrogenetics (NephGen), doctors and researchers are using genetic information to search for mechanisms underlying kidney diseases.

They are underestimated genetic control elements: it is known that changes in the genome can trigger diabetes. But now researchers at the University Hospital Ulm and the INSERM Cochin Institute in Paris have shown that a previously under-researched region of the genome also plays a crucial role in the development of this disease.

At the Fraunhofer Institute for Interfacial Engineering and Biotechnology IGB, a three-dimensional skin model has now been set up for the first time that directly displays the skin's reaction to substances: The reporter skin. Thanks to the built-in reporter, the cellular response can be measured precisely and quickly – using a living model.

Whether we are predisposed to particular diseases depends to a large extent on the countless variants in our genome. However in the case of genetic variants the influence on the presentation of certain pathological traits has been difficult to determine. Researchers have introduced an algorithm based on deep learning that can predict the effects of rare genetic variants.