Healthcare industry

Article - 09/10/2019

Epigenomics from the Cyber Valley

Cyber Valley Stuttgart-Tübingen is a European hotspot for artificial intelligence and home to many renowned experts and scientists. They are now joined by Gabriele Schweikert, who heads up the Computational Epigenomics research group in the Cyber Valley’s Division of Computational Biology. Schweikert is interested in exploring epigenetic mechanisms using machine learning methods.

Article - 21/02/2019

Using neuromedical artificial intelligence responsibly

Brain-computer interfaces are the latest developments in the neurotechnology field. They are used to record brain activity, which is then decoded with artificial intelligence techniques and converted into control signals for robots or computers. While this brings hope to severely paralysed people, it also implies risks due to the interest of companies like Google and Facebook in this type of data.

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.

University takes next hurdle in the German government’s Excellence Strategy funding program. The University of Tübingen is to have three new Clusters of Excellence.As part of the German government’s Excellence Strategy funding forhigher education research, Tübingen will host new outstanding research networks starting in January 2019. Representatives of Germany’s higher education policymakers announced the decision in Bonn on Thursday.

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.

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.

Press release - 16/10/2013

BIOTECHNICA 2013 - Baden-Württemberg is a top life sciences spot.

The BIOTECHNICA trade show rolled out the red carpet for its exhibitors. Over 10,000 visitors walked over the carpet to inspect the exhibits that were on display at the Baden-Württemberg booth. The impressive exhibits of the companies showed that Baden-Württemberg has many highly innovative SMEs in the life sciences field.

Article - 07/10/2013

Hans Kestler brings order to biological data

Hans Kestler works on the borders between the faculties, administration and different disciplines at Ulm University. Molecular biologists and life scientists at Ulm University fight over the lively engineer who is in his late forties. They all need the assistance of the systems biologist who knows how to deal with the enormous amounts of data they produce using mathematical models and algorithms.

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 - 10/12/2012

A machine learning method for the prediction of regulatory interactions

Heidelberg bioinformaticians have developed a novel method for the automated prediction of regulatory interactions. The regulatory interaction predictor, a machine-learning based approach for predicting interactions between DNA-binding transcription factors and their target genes and obtaining important insights into the gene regulatory networks in complex cells.

Press release - 06/12/2010

The taster in your water line

Although drinking water is monitored more strictly than almost anything, our water supply network is still not immune to accidents, wear and tear or targeted attacks. A one-minute warning system for toxins and other substances in water hazardous to health could set off alarms in future if there is a danger.

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.…