Diagnostics

Hummingbird Diagnostics GmbH, a pioneer in harnessing blood-based small RNAs for early disease detection and characterization, today announced the publication of a new study in Nature Communications Medicine introducing an Oxford Nanopore Technologies (ONT)-based method for detecting small RNA modifications in blood.

Artificial intelligence: opportunities for healthcare - 06/11/2025

More than just deskwork: opportunities and obstacles for generative AI in healthcare

Generative artificial intelligence (GenAI) has enormous potential in healthcare, ranging from automating time-consuming deskwork to supporting diagnoses. It is not just for the big players; there are also cost-effective ways for smaller companies and institutions to utilize GenAI.

Researchers have developed a new method that greatly improves the accuracy of brain-state classification with functional near-infrared spectroscopy (fNIRS). The brain-imaging technique fNIRS allows researchers to measure neural activity: Active brain cells need more oxygen, so variations in blood flow and oxygen saturation indicate which brain regions are at work. fNIRS detects these changes safely and without invasive procedures.

The nationwide OnkoAktiv network, founded at the National Center for Tumor Diseases (NCT) in Heidelberg, has been awarded the Baden-Württemberg Cancer Innovation Prize 2025. The prize recognizes OnkoAktiv for its pioneering role and groundbreaking contribution to the integration of exercise into oncological care.

Federal government awards 3.5 million euros in funding to the collaborative research project FLU-PREP. Researchers are developing methods to identify the pandemic potential of new viruses at an early stage.

The Federal Ministry of Research, Technology and Space (BMFTR) is supporting the “Sleep-Neuro-Path” research network with around 1.6 million euros. Coordinated by the Central Institute of Mental Health (CIMH) in Mannheim, a team of scientists is investigating the role of sleep-related biomarkers in the development of myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS).

Until today, the aggressiveness of prostate cancer has been assessed primarily using the Gleason grading system—an analysis of cancer tissue in a pathology laboratory that is highly subjective. An international research team led by the German Cancer Research Center (DKFZ) has now developed a novel, explainable AI model that aims to make the diagnosis of prostate cancer more transparent and less susceptible to error.

Medical image analysis - 25/09/2025

Powerful AI systems using synthetic training data

AI systems for image analysis are only as good as the data on which they are trained. The Göppingen-based start-up MIRA Vision has developed a novel method for generating synthetic, photorealistic images, enabling the efficient creation of large, high-quality training datasets. An intuitive platform also allows researchers to evaluate microscopy images with ease.

Why is blood cancer particularly aggressive in some patients? Researchers at Ulm University Hospital have characterised a mutation in the so-called NOTCH1 gene that significantly influences the prognosis of chronic lymphocytic leukaemia (CLL). Remarkably, this mutation is located in the non-coding region of the gene – an area of DNA long considered less relevant for disease mechanisms.

With the FeMEA project – Ferroelectric Microelectrodes for Biomedical Applications – Hahn-Schickard is setting a pioneering course in bioelectronics research. The aim of the project is to develop novel microelectrode arrays in which ferroelectric materials are used as functional interfaces in CMOS chips for the first time.

Scientists from the European Molecular Biology Laboratory (EMBL) and the German Cancer Research Center (DKFZ) have developed an AI model that assesses the long-term individual risk for more than 1,000 diseases. The model, which was trained and tested using anonymized medical data from the UK and Denmark, can predict health events over a period of more than a decade.

Researchers at Heidelberg Uni Hospital have decoded a previously unknown mechanism by which HIV-1 selects its integration targets in the human genome. A research team identified RNA:DNA hybrids as molecular signposts for the virus. These findings reveal a vulnerability in the life cycle of HIV and provide therapeutic approaches for specifically controlling HIV reservoirs in the body. This has been one of the obstacles to curative HIV therapies.