Basic research

FOXP1 syndrome is a congenital disorder in which the brain development of affected children is severely impaired due to a genetic variant. A research team from the Medical Faculty Heidelberg at Heidelberg University has now demonstrated in mice, that the inhibition of a specific enzyme in the brain can improve abnormal behavior and immune cell dysfunction in the brain. The results have been published in the journal Advanced Science.

Tumors of the pancreas seldom cause symptoms in their early stages. This means that in many cases, they are not diagnosed until late, when the chances of successful treatment are poor. A new non-invasive diagnostic method designed by Fraunhofer researchers is set to make it possible to detect this aggressive form of cancer early on with high accuracy, significantly improving the prognosis for treatment.

Less radiation exposure during diagnosis and treatment for breast and lung cancer: New Fraunhofer method combines X-ray imaging and radar. In the MultiMed project, which explores multimodal medical imaging in 3D, researchers are developing a method that combines X-ray imaging and radar. It´s not only expected to improve the accuracy and efficacy of diagnosing, monitoring and treating breast and lung cancer but also lighten the burden on patients.

Designing protein binders from scratch has long been a daunting challenge within the field of computational biology. Researchers have now developed an innovative, training-free pipeline that uses the fundamental principle of shape complementarity to design site-specific protein binders, which are then optimised to fit precisely onto chosen target sites. The researchers tested this on proteins linked to cancer.

Konstanz researchers identify an enzyme that plays a role in the migration of cells in our body - not only during normal tissue formation and wound healing, but also when tumor cells metastasize. This makes the enzyme an interesting candidate for potential future therapeutic approaches.

A team of researchers from HITS and MPIP have developed a model that learns how to generate proteins whose structures are highly flexible, even with patterns that are uncommon in natural proteins. Their work, presented at the International Conference on Machine Learning (ICML), marks a step towards the goal of designing new proteins for applications in biotechnology, therapeutics and environmental research.

ngredients of our daily diet – including caffeine – can influence the resistance of bacteria to antibiotics. This has been shown in a new study by a team of researchers at the Universities of Tübingen and Würzburg. They discovered bacteria such as E. coli orchestrate complex regulatory cascades to react to chemical stimuli from their direct environment which can influence the effectiveness of antimicrobial drugs.

Sepsis is one of the most dangerous medical emergencies. The condition is the result of a misdirected immune response to an infection, which can quickly lead to organ failure and death. Every hour counts – but early detection is difficult. A new study from Heidelberg now presents an innovative approach: artificial intelligence (AI) and hyperspectral imaging of the skin enable immediate and non-invasive sepsis diagnosis directly at the bedside.

Study led by the University of Tübingen: many non-antibiotics weaken the natural protective function of the intestine – with consequences for the colonization with pathogenic bacteria

AI-supported image recognition accelerates identification of zebrafish mutants - 16/07/2025

EmbryoNet AI automatically identifies developmental disorders

In complex organisms, embryonic development is tightly regulated by intricate signalling pathways. When these pathways are disrupted, they can lead to characteristic developmental defects that are not easy to detect with the naked eye. Developmental biologist Prof. Dr. Patrick Müller from the University of Konstanz has developed EmbryoNet, an AI-powered software tool that uses image analysis to reliably identify such developmental disorders.

With its Proof of Concept grants, the European Research Council (ERC) supports scientists in further developing the economic potential of their research results. Two scientists from the German Cancer Research Center (DKFZ) have now received this coveted funding for the second time.

The protein SNAP-tag is a powerful tool for labeling proteins with synthetic fluorophores for bioimaging. Scientists at the Max Planck Institute for Medical Research in Heidelberg have engineered a much improved version named SNAP-tag2 as well as optimized substrates for faster labeling in live cells.