Diagnostics

Enhancing human perception of the imperceptible - 28/08/2025

AI-driven imaging expands possibilities in surgery

Doctors frequently experience a restricted view of the surgical field, particularly during endoscopic procedures. A novel technique developed by Prof. Dr. Lena Maier-Hein's team at the DKFZ in Heidelberg integrates spectral imaging with AI-driven data analysis. This innovation facilitates accurate tissue differentiation and delivers real-time insights into organ function.

Svenja Brodt uses MRI brain scans to investigate how impressions become memories. A better understanding of how long-term memories are formed could help Alzheimer's patients cope with their daily lives. Impaired memory formation could be compensated for by targeted repetition.

If the brain no longer responds properly to insulin (insulin resistance), this can lead to overweight, diabetes, and Alzheimer's disease. Researchers at the DZD in Potsdam and Tübingen have discovered small chemical modifications to genetic material (epigenetic changes*) in the blood that indicate how well the brain responds to insulin. These markers could help to detect insulin resistance in the brain – by means of a simple blood test.

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.

Breath test replaces invasive diagnostics - 30/07/2025

Novel smartphone sensor offers innovative breath test to detect Helicobacter infection

The stomach bacterium Helicobacter pylori is widespread and, if left undetected, can impact our well-being and also lead to serious health conditions. While effective treatments exist, a reliable diagnosis is essential. To address this, researchers have developed an affordable breath test that uses a mini-sensor to detect the presence of the bacterium. They are currently working on a smartphone-compatible version for self-testing.

Stem cell-like leukemia cells are responsible for relapses in children and adolescents with a certain type of blood cancer, T-ALL. Researchers at the Hopp Children's Cancer Center Heidelberg (KiTZ), the Molecular Medicine Partnership Unit and the German Cancer Research Center were able to show this in a study. The results could help to overcome resistance in this form of blood cancer and prevent relapses.

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.

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.

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.