Changes known as epigenetic modifications play an important role in cancer development, among other things. Being able to analyze them quickly and reliably could, for example, contribute significantly to the further development of personalized therapy.

Apogenix, a biopharmaceutical company developing next generation immunotherapeutics, announced today that asunercept showed statistically significant benefits for hospitalized COVID-19 patients in the ASUNCTIS trial. The open-label multi-center phase II trial investigated efficacy and safety of asunercept in 435 patients with moderate to severe COVID-19 disease.

Led by researchers from Heidelberg Faculty of Medicine at Heidelberg University and the University of California, San Francisco (USA), an international research team has evaluated a novel approach for the diagnosis of pulmonary tuberculosis. The method enables detection of Mycobacterium tuberculosis without laboratory infrastructure, within a markedly shorter time frame than conventional diagnostics, and using a simple swab.

Nanoparticles as drug carriers - 09/11/2023

Inhalation of nanocarriers for antibiotics against resistant tuberculosis pathogens

Around ten million people worldwide still contract tuberculosis every year. With an estimated 1.4 million deaths a year, tuberculosis was the world’s deadliest infectious disease until COVID-19. The high mortality rate is down to the sophisticated biology of the pathogen Mycobacterium tuberculosis. A team of researchers from the KIT and the Research Centre Borstel (FZB) has developed a method that aims to outsmart the bacterium once and for all.

Article - 08/07/2021

Individual operation risk assessment by the Cognitive Medical Assistant

Despite modern surgical techniques and anaesthetic procedures, serious complications can occur during surgical interventions. An interdisciplinary team at Heidelberg University Hospital has launched a project called the Cognitive Medical Assistant (German: Der Kognitive Medizinische Assistant, KoMed for short), designed to better assess the individual risk of these interventions. The project’s goal is to systematically and comprehensively analyse…

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.