This year Furtwangen University (HFU) is launching the “HFU Skills4MedTec” project to further enhance its profile as a leading authority in medical technology and to develop targeted scientific training courses for specialists and managers in the industry.

The “Digital Integration and Innovation in Surgery” project aims to promote the transfer of new findings and research results into practice. The School of Informatics at Reutlingen University will work together with Furtwangen University, BioMedTech e.V., University Hospital Tübingen and other stakeholders to examine how intelligent digital assistance systems can contribute to improved patient care during surgical procedures.

The Medical Faculty Heidelberg of Heidelberg University and Mannheim University of Applied Sciences are combining their expertise in infectious disease research, mass spectrometry, and bioinformatics to overcome resistance in malaria vectors. The project is supported by funding from the Gates Foundation.

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.

PhD student at Furtwangen University develops method for faster determination of antibiotic resistance. The increase in antibiotic-resistant pathogens and the associated treatment, which is a major problem in public healthcare facilities, is the subject of a research project at Furtwangen University.

Team involving the University of Freiburg has developed a new analytical method for the basement membrane in human lungs.

The AutoProNano German/French collaborative project involves developing a process for the automated production of nanoparticles for in vitro and in vivo diagnostics. The project is being launched within the smart analytics cooperation network. This international initiative has been funded by the Central Innovation Programme for SMEs (ZIM) of the German Federal Ministry for Economic Affairs and Climate Action (BMWK) since May 2020.

Bacteria of the species Pseudomonas aeruginosa are antibiotic-resistant hospital germs that can enter blood, lungs and other tissues through wounds and cause life-threatening infections. In a joint project, researchers from the Universities of Freiburg and Strasbourg in France have discovered a mechanism that likely contributes to the severity of P. aeruginosa infections.

Parkinson's disease is characterised by a slow, progressive loss of nerve cells in certain brain areas. The disease is still incurable and the exact causes are unclear. The dopamine deficiency in the brain can only be controlled to some extent in the initial phase of the disease. Basic research is being conducted in an attempt to unravel the mystery of Parkinson's disease.

Article - 26/07/2019

New test assay leads to discovery of new influenza virus infection route

Researchers from the University of Freiburg have recently discovered a completely new mechanism that influenza viruses use to infect cells. This discovery was partly made possible by a so-called emulsion coupling assay - an extremely sensitive, digital detection method developed by Actome GmbH in collaboration with scientists from the Freiburg University of Applied Sciences and Hahn-Schickard. The assay is used to count individual molecules and…

Article - 03/04/2019

HKK Bionics empowers hand gripping functions

A spin-off from the Ulm University of Applied Sciences is aiming to provide people whose hands have been paralysed due to accident or illness with a new kind of orthopaedic aid. Dominik Hepp and Tobias Knobloch are currently starting serial production of a hand orthosis prototype. The two medical engineers from Ulm, who founded HKK Bionics GmbH in 2017, plan to commence final tests in 2019.

Article - 07/02/2019

Artificial intelligence in ophthalmology

Retinal diseases such as age-related macular degeneration (AMD) are now treatable. However, it is hard to predict individual disease progression. A group of researchers at the University Eye Centre in Freiburg are currently developing a new system which is hoped will allay fears and improve therapy planning. The system uses artificial intelligence to predict therapeutic outcome from image and patient data. Initial results are already available.