Since 2019, the Research Training Group (RTG) "Intraoperative Multisensoric Tissue Differentiation in Oncology," a collaboration between the University of Stuttgart and the University of Tübingen, has been advancing research in medical technology. With the help of new sensor methods, the researchers want to help make surgical procedures on cancer patients safer and more effective.

Scientists from the German Cancer Research Center (DKFZ) and the European Bioinformatics Institute EMBL-EBI, Hinxton, UK, are using the Danish health registers to predict individual risks for 20 different types of cancer with a high degree of accuracy. The prediction model can also be transferred to other healthcare systems.

Colorectal cancer differs from patient to patient. That is why scientists are looking for characteristic tumors markers that allow to make predictions about the likely response to certain therapies and the individual prognosis. The aim is to identify colorectal cancer subtypes so that these can then be treated in a customized manner.

App for tuberculosis diagnosis - 15/05/2024

"Find-TB" aims to improve access to tuberculosis diagnostics

Globally, the majority of children with tuberculosis remain undiagnosed and therefore untreated because their symptoms are categorised incorrectly. Researchers at Heidelberg University Hospital want to develop an app that analyses medical information, risk factors and local surveillance data to calculate individual risk of infection and test those who might be affected with TB as early as possible.

Professor Claudia Denkinger from Heidelberg University's Faculty of Medicine is leading the international collaborative project "BreathForDiagnosis". Researchers from Germany, Italy, South Africa and Romania are working with an industrial partner from Switzerland to develop user-friendly breath tests for the rapid diagnosis of respiratory infections such as tuberculosis.

An unexpected discovery surprised a scientist at the Max Planck Institute for Intelligent Systems in Stuttgart: nanometer-sized diamond particles, which were intended for a completely different purpose, shone brightly in a magnetic resonance imaging experiment – much brighter than the actual contrast agent, the heavy metal gadolinium. Could diamond dust one day become a novel contrast agent used for MRI?

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.

The market for medical technology is innovative, dynamic, and growing. Bosch sees medical technology as a strategic growth field and intends to expand its Bosch Healthcare Solutions subsidiary, based in Waiblingen. Bosch has now entered into a new partnership with the German diagnostics solutions company R-Biopharm. This partnership will be focused on Bosch’s universal, fully automated Vivalytic molecular diagnostic analysis platform.

Collagen has been used in ophthalmology since the 1990s, particularly in the treatment of corneal defects. However, why and how this technique works was only known in theory. Researchers at the NMI Natural and Medical Sciences Institute in Reutlingen led by Lu Fan have found the necessary evidence and can now reliably explain how this technique works.

Pioneering cutting-edge diagnostic systems for the detection of complex diseases: Cyber Valley is pleased to announce it has awarded funding of 500K EUR to the CELL’n’ROLL team through the 2023 Cyber Valley Innovation Fellowship program, funded by the Carl-Zeiss-Stiftung.

With its Vivalytic analysis platform, Bosch has set itself the goal of making fast and highly precise diagnostics accessible at the point of care – and aims to use molecular diagnostics to become a leading provider in the market by 2030. To achieve this, Bosch has now agreed on a strategic partnership with Randox Laboratories Ltd., a leading diagnostic and medical technology company.

In the medicine of the future, tiny robots will navigate independently through tissue and medical instruments will indicate their position inside the body during surgery. Both require doctors to be able to localize and control the devices precisely and in real time. Scientists from the German Cancer Research Center (DKFZ) have now described a signaling method based on an oscillating magnet that can significantly improve such medical applications.

Does our therapeutic approach work against cancer? The answer to this question can make the difference between life and death - and is still difficult to answer. A team from the NMI Natural and Medical Sciences Institute at the University of Tübingen and the Werner Siemens Imaging Center Tübingen has developed a technique for observing immune cells.

HealthCare Royalty to purchase royalties from worldwide sales of Telix Pharmaceuticals’ imaging diagnostic agent ZircaixTM (TLX250-CDx) Heidelberg Pharma is eligible to receive up to USD 115 million in three near-term tranches Cumulative royalties sold are capped at a maximum value

Artificial intelligence (AI) can help dermatologists to detect skin cancer. However, many dermatologists distrust the algorithms' decisions, which they cannot comprehend. Scientists at the German Cancer Research Center have now developed an AI-based support system for skin cancer diagnostics that explains its decisions.

The German Cancer Society has certified the Center for Personalized Medicine (ZPM) at Heidelberg University Hospital. At the ZPM Heidelberg, patients with advanced and rare cancers and, in future, people with severe chronic inflammatory diseases will receive a molecular genetic analysis. The detailed information can open up new treatment options for those affected.

The new Center for Bionic Intelligence Tübingen Stuttgart aims to optimize the interaction between humans and technical systems in a fundamentally new way. Scientists from the Universities of Stuttgart and Tübingen, the Max Planck Institute for Intelligent Systems and the Max Planck Institute for Biological Cybernetics are conducting research on intelligent bionic systems that will aid understanding and treatment of certain diseases of the CNS.

Dossier - 11/10/2023

The quantum revolution in the healthcare industry

From ultra-fast quantum computers to highly sensitive sensors - quantum technologies could take medicine a giant step forward. Possible areas of application range from drug development and early cancer detection to reading brain waves to control prostheses or exoskeletons. The German state of Baden-Württemberg plays a key role in the development of sensors in particular.

Current diagnostic methods do not always reliably distinguish between chronic inflammation of the pancreas and pancreatic cancer. About one third of all diagnoses are inconclusive. Scientists from the German Cancer Research (DKFZ) and from Heidelberg University Hospital (UKHD) therefore searched for molecular markers that could specify this diagnosis.

The computational design of new proteins for biomedical or other applications involves long computing times on powerful servers. A joint team of researchers from the Max Planck Institute for Biology Tübingen and the University Hospital Tübingen has now developed and tested a new computational method to greatly speed up the necessary energy calculations. Their framework allows for a precise and efficient design of functional proteins.

Scientists from the German Cancer Research Center (DKFZ) and the Cambridge Stem Cell Institute have developed an AI system that recognizes and characterizes white and red blood cells in microscopic images of blood samples. The algorithm can help physicians diagnose blood disorders and is available as an open source method for research purposes.

A new study published in Nature Medicine, July 2023 has identified two novel markers for screening high-grade squamous intraepithelial lesions (HSIL), a precursor to anal cancer, from the anal microbiome of people with HIV (PWH). PWH are at a significantly higher risk of developing anal cancer. Current screening methods, such as anal cytology, have low specificity for detecting HSIL, which hinders the prevention of anal cancer.

Tumour organoids facilitate drug discovery - 20/07/2023

Drug screening for children with cancer using patient-specific miniature tumours

Standard drugs often don’t work in children and adolescents with recurrent cancer. Researchers from the Hopp Children's Tumour Centre (KITZ) and the German Cancer Research Center (DKFZ) in Heidelberg have been looking to open up new therapy options for those affected, and have cultivated individual miniature tumours from biopsy samples to test the effectiveness of a variety of drugs within a few weeks.

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.

Detecting drug resistance of tumour cells - 25/05/2023

AI-assisted diagnostics declares war on lung cancer

Lung cancer is one of the most common cancers and has a particularly high mortality rate. A significant challenge in treating this disease lies in the resistance of lung tumours to conventional drug therapies, rendering chemotherapy ineffective. There is hope on the horizon as a team of experts from Baden-Württemberg has joined forces to develop an innovative AI-supported test procedure that paves the way for individualised therapy approaches.