The family-owned MedTech company KARL STORZ announces the acquisition of the innovative software manufacturer Innersight Labs Ltd. (ISL) headquartered in London. In addition to state-of-the-art endoscopes, high-end medical devices, and integrated solutions for the operating room, KARL STORZ is also continuing to expand in innovative software solutions.

The MedTech company KARL STORZ announces the acquisition of the innovative software manufacturer Innersight Labs Ltd. (ISL) headquartered in London. In addition to state-of-the-art endoscopes, high-end medical devices, and integrated solutions for the operating room, KARL STORZ is also continuing to expand in innovative software solutions. Its large customer base, including top-class physicians worldwide, can now look forward to 3D models.

Researchers at the University of Konstanz publish image analysis software that automatically detects and classifies defects of animal development. Thanks to artificial intelligence, "EmbryoNet" outperforms human experts in terms of speed, accuracy and sensitivity.

Dossier - 28/04/2014

Data mining new opportunities for medicine and public health

Research and healthcare activities produce huge quantities of data that need to be presented in an understandable structure. This requires computer-assisted extraction of relevant data and the use of statistical methods. This process, known as data mining, enables the discovery of patterns in large data sets. Data mining methods are of particular importance in fields that use high-throughput, visualisation methods and telemedical applications.

Cytolytics GmbH - 14/02/2023

Bioinformatics meets medical diagnostics and drug development

The start-up company Cytolytics from Tübingen has developed a robust and user-friendly software platform that uses machine learning for the automated analysis of cells. This is beneficial in areas such as cancer diagnostics and the development of new pharmaceutically active substances.

Article - 22/06/2021

Using virtual reality in the clinic to rehabilitate patients with cognitive disorders

Outdated and inadequate methods of neurological rehabilitation are still being used for patients with neurological diseases or injuries – and what’s more, the treatment is usually too late. This is because cognitive training is especially important in the critical phases when the brain is particularly plastic. The Heidelberg-based company living brain proves that early treatment is possible using an extremely innovative method – with concentrated…

Article - 23/04/2019

How can care infrastructures benefit from digitization?

The pilot project NeCTra (Networking - Care - Transparency) investigates how care processes within an urban social environment can be improved by using digital technologies. The goal is to bring together all partners and institutions in real time so that people in need of care and those seeking advice receive appropriate support more quickly.

Konstanz biologist Patrick Müller receives a Proof of Concept Grant from the European Research Council for his project "EmbryoNet-AI". Its goal is the further development of an AI-supported platform for the automated evaluation of experiments – for example, in drug development.

The Damietta Server broadens the accessibility to protein design research and its applications in various biotechnological and biomedical fields. Researchers at the Max Planck Institute for Biology Tübingen, the University of Tübingen, and the University Hospital Tübingen have developed a web-based toolkit to accelerate and simplify protein design without needing powerful computers or extensive protein design expertise on the user’s end.

Scientists use super-resolution microscopy to study previously undiscovered cellular worlds, revealing nanometer-scale details inside cells. This method revolutionized light microscopy and earned its inventors the 2014 Nobel Prize in Chemistry. In an international collaboration, AI researchers from Tübingen have now developed an algorithm that significantly accelerates this technology.

Today, genome editing is almost as easy as programming software. However, the generation of viral vectors as initial material is still associated with many expensive and error-prone handling procedures. Viruses are generated via complex biological processes that have to be optimised virus-specifically in order to produce high-quality therapeutics. A new method is needed that simplifies and optimises these processes.

Resource efficiency, time and cost savings are essential topics in the textile and apparel industry. The advantages of digital manufacturing apply not only to fashion, but also to medical textiles. To this end, the German Institutes of Textile and Fiber Research Denkendorf (DITF) have developed a digital platform that can be used to produce precisely fitting flexible textile orthoses in a resource-, time- and cost-efficient manner.

Dossier - 09/09/2019

Artificial intelligence in medicine: assistance for human senses

There is no way around it. Whether we like it or not, artificial intelligence (AI) has long been part of our lives, in traffic management, marketing campaigns or in the fields of medicine and life sciences. AI is omnipresent, often without us being aware of it. Baden-Württemberg is home to one of the largest AI research consortia in Europe and has recently become one of the European hotspots for this key technology.

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

Digitalisation - 04/08/2021

Eye check for all - quick and easy thanks to artificial intelligence

Many eye diseases are already easily treatable, if they are detected in time. But waiting months for an ophthalmologist’s appointment seems to be the norm - that is, if you can get to see a specialist at all. The Tübingen-based start-up eye2you wants to improve this situation: it has developed a mobile retinal examination device involving a smartphone and AI. It can be used by family doctors, diabetologists and nursing staff and thus help to…

Expert interview - 13/05/2019

Innovation management in the life sciences – Inova DE provides insights

Personalized medicine, medical technology, digital health and artificial intelligence are revolutionizing diagnostics and product development. Analyses are becoming faster and more precise, and data volumes can now be networked and used effectively. The goal of improving people's quality of life is within reach, and this will also strengthen Germany’s future viability. However, not every good idea can be turned into a marketable commodity.…

Laboratory automation - 29/11/2021

Reaching the goal quickly and efficiently with the help of artificial intelligence

Medical research is slow, costly and time-consuming. The system developed by the start-up LABMaiTE could soon change that. With the help of artificial intelligence, it will be possible to automate laboratory experiments and collect and analyse data at the same time.

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.

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.

Scientists at the German Cancer Research Center (DKFZ), together with doctors from the Urological Clinic of the Mannheim University Hospital, have developed and successfully tested a chatbot based on artificial intelligence. "UroBot" was able to answer questions from the urology specialist examination with a high degree of accuracy, surpassing both other language models and the accuracy of experienced urologists.

Optogenetic cell analysis - 15/05/2023

opto biolabs: how frustration and inventiveness led to the establishment of a company

When she found she had no suitable illumination devices for her doctoral thesis, Dr. Kathrin Brenker simply created her own customised adapters and founded a company called opto biolabs. Now, Brenker and company co-founder Luis Köbele sell two different types of devices. The main goal is to equip laboratories with illumination technologies that allow optogenetics methods to be used to accelerate development of optogenetic therapeutics.

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.

Can interconnected digital assistance systems enhance the quality of life of people in older age? Scientists in an interdisciplinary research project at Heidelberg University are exploring this question in a representative practice study. The participating researchers want to investigate how well these technical aids can be used and what benefit they achieve.

Effective drugs against viral diseases like COVID-19 are urgently needed now and in the future. The emergence of viral mutants and yet unknown viruses could push vaccines to their limits. The DZIF scientist and bioinformatician Andreas Dräger from the University of Tübingen is working on a computer-based method that can help to accelerate the time-consuming identification and development of antiviral agents. Using a novel analysis technique that…

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.