84 percent of Germans consciously consider their diet. For the majority, nutrition is a central topic, but many perceive the public debate as divisive and patronising. According to the latest nutrition study by the Robert Bosch Stiftung and the More in Common, citizens want policies that promote healthy, regional, and affordable food – without regulations or bans. At the same time, they are calling for more say in shaping the food system.

Two molecular control factors play a decisive role in what is known as splicing, the cutting and assembly of mature messenger RNA – a prerequisite for protein synthesis in the cell. The poorly characterized factors are crucial to ensuring that the molecular machine responsible for splicing is working correctly. A research team has deciphered how the two cellular quality inspectors work.

SpecPlate: an innovative multiwell plate - 26/03/2025

Focus on innovative drug development - accurate, time- and cost-saving

Drug research is a complex and costly process that requires extensive laboratory analyses and vast quantities of consumables, with disposable sample carriers in particular being used in their millions. PHABIOC GmbH has come up with a solution in the form of the SpecPlate, a ground-breaking alternative to sample carriers that reduces the time taken to perform analyses as well as the quantity of materials consumed. Serial production is underway.

Researchers at the German Cancer Research Center (DKFZ) have succeeded in identifying a resistance mechanism that often occurs in a specific targeted therapy against chronic lymphocytic leukemia (CLL). The drug ibrutinib is effective in many cases, but therapy resistance often develops during the course of treatment. In cell culture experiments and in mice, the resistance mechanism was successfully overcome using a second drug.

A recent article by Prof. Dr. Martin Haimerl and Prof. Dr. Christoph Reich of Furtwangen University shows that machine learning (ML) in medicine is often evaluated without a comprehensive risk assessment. The authors investigated the extent to which current scientific papers include risk-based metrics in the evaluation of AI models for medical devices.