Healthcare industry

Company profile: medicalvalues GmbH - 05/05/2022

medicalvalues – best possible diagnostics thanks to AI

The Karlsruhe-based start-up medicalvalues GmbH wants to use its platform to bring together different clinical data sets and thus enable comprehensive medical diagnostics. Artificial intelligence featuring innovative diagnostic algorithms is used to evaluate the data and generate new insights for laboratories and hospitals.

SICOS BW GmbH - 18/06/2020

High-performance computing and data analytics to combat coronavirus

In an epidemic, data exchange and the use of innovative technologies are essential to be able to act effectively and quickly against the infection. High-performance computers and data analytics make a valuable contribution to this. SICOS BW is a promising solution centre that bridges the gap from numerical simulation, big data and AI to companies in the medical technology sector.

Company profile - 09/01/2019

HQS Quantum Simulations for industrial quantum mechanics applications

The door to the quantum world is opening wider and wider. Behind it is a whole new view of materials and molecules. Quantum mechanics applications not only benefit science, they also offer huge economic potential. The Karlsruhe start-up HQS Quantum Simulations is playing a pioneering role in quantum simulations for the chemical and pharmaceutical industries.

Big Data - 26/03/2018

Eliciting reliable information from big data with classifiers and multimodal data fusion

Prof. Hans A. Kestler knows a great deal about large amounts of data. He heads up the Institute of Medical Systems Biology at the University of Ulm and is constantly inundated with cooperation enquiries from clinicians. On behalf of BIOPRO, Walter Pytlik asked him whether the conditions for using big data more in biomedical research are already largely present.

Dossier - 06/03/2018

Big data - the big promise of the new digitised world

Big data is a widely used buzzword in today's information era. The use of big data in the digital world presents both an opportunity and a risk. Mass data is now used and analysed in almost all areas of life. Even the healthcare sector is undergoing extensive digitisation.

Personalised Medicine - 04/05/2017

Big data make therapy work better

An international team of researchers has shown for acute myeloid leukaemia (AML) that cancer therapy can be personalised using big data. The authors of the study “believe this paper is a step towards validation of genetic techniques as a route to personalised medicine”.

Article - 20/04/2017

Health app to be integrated into clinical trials

Questionnaires are a thing of the past, now it is becoming increasingly likely that information for clinical trials will be collected via apps in the future. A new research platform has been developed to prepare patient data transmitted via smartphone applications. Doctors who are carrying out research will thus have access to more accurate results that will also ultimately benefit patients.

High-tech - 20/10/2016

Industry 4.0 in the medical technology and pharmaceutical industry sectors

The digitalisation of industry affects the entire value chain. From individual products to digitising workflows in companies and connecting companies with clients and service providers via the Internet of Things – Industry 4.0 makes completely new manufacturing processes possible and requires new and specific business models.

Article - 27/07/2016

“Open science“ – a successful recipe for combating viruses

Danger identified, danger averted – the better the dynamic changes of the viral genome are understood, the better the spread of the pathogens can be predicted, thus enabling more efficient countermeasures to be taken. A team of researchers from Tübingen and Seattle is developing an open source online platform that maps the evolution of viruses and identifies dangerous developments.

Researcher profile - 13/06/2016

Matthias Willmann wants to get the big picture – tracking down infectious agents

While fighting and curing bacterial infections in sick patients is one part of the picture, epidemiological investigation of the spread of pathogens is another. Dr. Matthias Willmann also assesses the impact of these factors on the healthcare system as a whole and draws conclusions that might boost early detection of pathogens and prevention of infections.

Article - 12/05/2016

Novel method for predicting the spatial structure of biomolecules

Biomolecules can only fulfil their functions in the cell when they fold into a characteristic native three-dimensional structure. Knowing this structure is not only of paramount importance for basic research, but also for medicine and pharmacology. Scientists from the Karlsruhe Institute of Technology (KIT) have therefore developed a simple method to predict the three-dimensional structure of biomolecules from the analysis of readily available…

The latest articles, press releases and dossiers on medical technology in Baden-Württemberg

Article - 22/12/2014

Bioinformaticians shed light into the data jungle

In recent years, the University of Tübingen has developed a tightly integrated service structure for the computer-based management of life sciences data. This structure is the point of contact for all those that produce or work with “omics” data – in Tübingen and beyond.

Article - 13/10/2014

Data mining is likely to play an increasing role in clinical development

Data mining still plays a minor role in the research-based pharmaceutical industry. But this is likely to change in the future. Mathematician Hans-Jürgen Lomp predicts that exploratory data analysis will be used to a greater extent in the future. Lomp is the Global Head of Statistics in Boehringer Ingelheim Pharma GmbH & Co KG’s Department of Medical Data Service and Biostatistics in Biberach.

Article - 18/08/2014

Biometry: Peter Martus works at the interface of mathematics and medicine

It’s not computer science, but it’s close to data: Prof. Dr. Peter Martus has an in-depth knowledge of how professional biotechnology and medical statistics are generated. Prof. Martus works at the University of Tübingen where he brings his know-how to clinical trials as well as working on life sciences projects where statistical issues need to be resolved.

Article - 10/06/2014

Mathematical models for predicting cellular signalling pathways

The micrometre-sized cells in organisms are biological systems in which countless vital processes take place. However little is yet known about most of these cellular metabolic chains because they interact with each other in a complicated manner. The research carried out by junior professor Nicole Radde and her doctoral student and engineer Patrick Weber from the Institute for Systems Theory and Automated Control IST at the University of…

Article - 12/05/2014

Automatic tracking of biological particles

Scientists at the BioQuant centre in Heidelberg have developed an automatic particle tracking method that can be used for time-resolved two- and three-dimensional microscope image data. This powerful computational method achieved the best overall result in an international competition that compared different methods for the quantitative tracking of the position of moving biological particles.

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 methods, visualisation methods and telemedical…

Article - 09/09/2013

Karsten Borgwardt, a specialist in data mining

The use of cutting-edge genomics, proteomics and metabolomics methods generates ever-increasing amounts of data in ever decreasing timescales. Special mathematical and computational methods are required for deducing relevant information from specific patterns. The data mining specialist Karsten Borgwardt from Tübingen is developing such methods for specific application in the life sciences.

Article - 06/08/2012

SystemsX.ch to fund systems biology research

SystemsX.ch is currently the biggest research initiative in Switzerland to provide financial support and technologies in the field of systems biology research. It is a consortium of twelve Swiss research institutions and universities but also works with non-Swiss institutions including the Baden-Württemberg-based company KNIME GmbH. The initiative is interested in expanding its cooperation with other life sciences companies and universities.

Article - 28/11/2010

Genedata facilitates search for biomarkers

Biomarkers play a key role in testing the efficacy of a new drug or finding out adverse reactions to it. For reliable and quick results, modern laboratory methods are used to generate huge amounts of highly complex molecular data. The data then need to be efficiently analysed. The company Genedata, with headquarters in Basel (Switzerland) and offices throughout Europe, including a base in Konstanz (Germany), has developed the software system…

Article - 27/10/2009

New ways of looking at computer data: H-Maps

Databases are classical tools for the collection, administration and presentation of computer data in table form. Tübingen-based Hölle & Hüttner AG has developed a completely new solution – H-Maps: a semantic knowledge matrix that associates and represents information as clearly arranged networks. This gives users a rapid overview and enables them to recognise new relationships.

The Europe-wide MARK-AGE project involving scientists from 14 countries commenced on the 1st April 2008. Scientists have joined forces to investigate the factors involved in ageing. They are using standardised questionnaires and analysing data acquired from physical and biochemical examinations of the blood and urine from 3700 volunteers. The team of experts includes the medical expert Professor Alexander Bürkle and the mathematician Prof.…

The data-mining tool KNIME has no difficulty in discovering key relationships within large amounts of data. The software is based on the open source development method it integrates current research methods and is doted with an intuitive operational concept.