Whether we are predisposed to particular diseases depends to a large extent on the countless variants in our genome. However in the case of genetic variants the influence on the presentation of certain pathological traits has been difficult to determine. Researchers have introduced an algorithm based on deep learning that can predict the effects of rare genetic variants.

Certain developmental signals play a significant role in maintaining our genetic blueprints. They prevent alterations in the genome, known as mosaicism. The underlying biological mechanism helps the DNA to produce an identical copy of itself during cell division using the original genetic blueprint. However, it can also contribute to genomic mosaicism during nerve cell development.

Personalized medicine with individually tailored therapies is becoming more a reality in cancer. This requires a look into the genetic material of tumors, a molecular diagnostic tumor profile. A research group from the German Network for Personalized Medicine (DNPM) has recorded the quality standards according to which genome analyses are carried out in Germany. The data is a prerequisite for integrating gene sequencing into routine care.

Pipetting robot for academic research - 28/08/2024

goodBot GmbH: a third arm for researchers

Repetitive tasks that researchers have to conduct in the lab tend to be tiring and often lead to errors. Precise pipetting is crucial for achieving reproducible results. Automation is underrepresented in research labs and existing pipetting robots are unsuitable for scientists. This is why Dr. Julius Wiener, Tobias Zundel and Oliver Brunner decided to found the company goodBot GmbH and develop a pipetting robot tailored to academic research.

Knowledge of the target structures for the immune cells is a basic prerequisite for the development of personalized cancer immunotherapies. Scientists from the German Cancer Research Center and the NCT Heidelberg are publishing a sensitive method based on mass spectroscopy to identify such tumor-specific "neoepitopes". The analytical method is designed to detect these low abundance protein fragments and requires minimal amounts of…

Start-up Cerebri GmbH - 05/08/2024

Comprehensive EEG supply thanks to telemedicine

Fewer and fewer patients are getting timely access to electroencephalograms, as the process of measuring brain activity and interpreting the results requires specific expertise. Cerebri GmbH, a newly established Tübingen-based company, aims to address this issue by offering user-friendly EEG caps and providing rapid, location-independent and top-tier diagnostics by experts.

Encouraging results from a large international study led by Heidelberg have recently been published in the journal “Lancet”: The genetic material of cancer cells with unknown tissue of origin contains numerous targets for specific drugs that are already available and have been developed to treat other forms of cancer. These suppressed the disease in CUP patients for significantly longer than chemotherapy.

Research association - 24/07/2024

SPI-MP: pioneer in personalised medical technology

Every person is unique – even when they are ill. This is why many approaches to personalised medicine have been under development. The Stuttgart Partnership Initiative - Mass Personalization (SPI-MP), which focuses on basic research into fabrication and biomaterial technologies for personalised biomedical systems, is at the heart of such research work. The projects range from artificial knee joint cartilage to state-of-the-art stroke diagnostics.

The "Friends of the German Cancer Research Center" association supports the DKFZ and aims to help strengthen its position in international competition. With the DKFZ Innovation Award presented at this year's DKFZ annual reception, the association honored Titus Brinker as a researcher whose highly innovative work builds a bridge from research to practical application with commercialization potential.

The summer reception hosted by BioRegio STERN Management GmbH has once again provided a fitting backdrop for the Science2Start award ceremony. Last Thursday, at Tübingen observatory, was the 15th time that scientists and start-up founders were celebrated for outstanding ideas that a panel of experts judged to have special economic potential.

Max Planck scientists will present a low-field magnetic resonance imaging (MRI) scanner in Lindau. Two researchers from the MPI for Biological Cybernetics in Tübingen, Germany, will present a model of a new low-field MRI system. It combines hyperpolarization with imaging techniques that can be run at low magnetic field strengths. The quality of the MRI images can be enhanced with the help of artificial intelligence.

Researchers from the University of Heidelberg have published a study on more than 60,000 patients in the renowned journal Lancet Digital Health, demonstrating the potential of AI in cardiac medicine.

Heidelberg Epignostix GmbH, a deeptech start-up committed to precision cancer diagnostics today announces €4.3M in seed funding. This investment will enable Heidelberg Epignostix to make a substantial leap forward in driving market development for its flagship indication for brain tumor classification.

Baden-Württemberg receives the EU Commission's "Regional Innovation Valley" label - 01/07/2024

Customised healthcare for all: BIOPRO is a partner in the EU project PRECISEU

The EU research project PRECISEU, which started in June 2024 and will run for five years, aims to connect innovation ecosystems across Europe and advance personalised medicine throughout Europe. BIOPRO Baden-Württemberg is one of 25 partner organisations from 11 European countries that are working on the further development of customised healthcare as part of the research project.

Baden-Württemberg receives the EU Commission's "Regional Innovation Valley" label - 01/07/2024

Customised healthcare for all: BIOPRO is a partner in the EU project PRECISEU

The EU research project PRECISEU, which started in June 2024 and will run for five years, aims to connect innovation ecosystems across Europe and advance personalised medicine throughout Europe. BIOPRO Baden-Württemberg is one of 25 partner organisations from 11 European countries that are working on the further development of customised healthcare as part of the research project.

Researchers at University of Galway, the Heidelberg Institute for Theoretical Studies (HITS) Heidelberg University, and Heidelberg University Hospital have created digital babies to better understand infants’ health in their critical first 180 days of life. The international team created computer models that simulate the unique metabolic processes of each baby. The models can help to better understand rare metabolic diseases.

How can we use artificial intelligence (AI) to make comprehensible medical decisions? A new project at the University of Mannheim, which has received funding from the Federal Ministry of Education and Research (BMBF), will analyze this question.

Gender-specific differences - 18/06/2024

Gender medicine: Why is good healthcare not a matter of course for everyone?

Gender medicine is the study of gender-specific health differences. Many diseases manifest themselves differently in men and women and therapies do not always have the same effect depending on the sex of the patient being treated. There is currently not enough data on these differences. Research teams including the one led by Professor Dr. Dr. Sonja Loges from the University Medical Centre Mannheim and the DKFZ are seeking to change this.

Depending on whether the cell nucleus of an epithelial cell is located on the outer or inner side of the tissue, the genome is more or less acetylated - genes can therefore be translated easier or harder. Scientists from the German Cancer Research Center (DKFZ) have demonstrated this for the first time in the development of the Drosophila wing.

Invasive infections such as sepsis require immediate and targeted treatment. Experts from the Fraunhofer Institute for Interfacial Engineering and Biotechnology IGB and group partners have succeeded in establishing a reconceptualized detection principle that can make a crucial contribution to saving lives through fast, ultra-accurate pathogen identification. They have been chosen to receive the 2024 Stifterverband Science Prize for their efforts.

Festo is expanding its portfolio to include multilayer manifolds made of plastic (bonded manifolds) in order to be able to offer manufacturers of medical and laboratory equipment solutions from a single source. To this end, Festo is taking over the production systems and processes for manufacturing these complex plastic manifolds from Carville, a leading company in this field.

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.