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Saarland Research Prize 2024

Monday, 18 December 2023 15:31

Scientists, research groups, scientific companies and institutions active in Saarland are eligible to participate. The prize money amounts to 10,000 euros and can be divided among up to three prize winners.

Researchers led by Dr. Sasha Mendjan at the Institute of Molecular Biotechnology (IMBA) of the Austrian Academy of Sciences, Vienna, have developed a new multi-chamber organoid that reflects the complex structure of the whole heart.

This year's Animal Welfare Research Prize of the Federal Ministry of Food and Agriculture (BMEL) was awarded to Prof. Dr. Diana Klein from the Institute of Cell Biology (Tumor Research) of the Medical Faculty of the University of Duisburg-Essen. She received the award for her work on the development and application of cell culture models in the field of tumor research.

Prof. Dr. Ellen Fritsche has been appointed as director of the Swiss Center for Applied Human Toxicology (SCAHT) based in Basel.

The German Center for the Protection of Laboratory Animals Bf3R at the Federal Institute for Risk Assessment, Berlin, has published its search engine for finding animal-free methods.

An American-German research team has succeeded in creating a comprehensive database that can be used to assess the relevance of results from NAMs (computer predictions, in-chemico and in vitro tests) with high-quality human reference data.

Scientists from the Max Delbrück Center in Berlin report that they have succeeded in using light to influence the complex tissue structure in organoids.

The Johns Hopkins Center for Alternatives to Animal Testing (CAAT) is currently accepting proposals for the 2023 Reduction and Humane Education Grants.

The state of Baden-Württemberg is funding three projects as part of its "Development of replacement and supplementary methods to animal experiments" funding program. A total of 200,000 euros is available, which will be divided among three research projects. The funding is announced annually.

Physicians and bioinformaticians at the Swiss Federal Institute of Technology Zurich, the University of Zurich and University Hospital Zurich report using machine learning to develop a method for predicting how individual cells will respond to specific treatments. This should enable more accurate diagnoses and therapies.