Healthcare industry

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.

Tablet-based diagnostics - 12/04/2023

TuCAN - innovative diagnostic procedure for neuropsychiatric disorders

Neuropsychiatric disorders are often diagnosed late and have a negative impact on quality of life. Diagnosing the disease at an early stage is vital to be able to help those affected by offering them treatment adapted to their specific requirements. This is what the TuCAN project in Tübingen aims to achieve through the early and differential diagnosis of neuropsychiatric disorders.

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.

This month marks the launch of an outstanding project integrating artificial intelligence (AI) and neuromedicine – the Hertie Institute for Artificial Intelligence in Brain Health (Hertie AI). Founded on February 1 at the Medical Faculty of the University of Tübingen, it will be the first institute in Germany to research the prevention and early diagnosis of diseases of the nervous system using artificial intelligence methods.

Using new microscopic methods in combination with machine learning-based image analysis, researchers from Freiburg have discovered new structures on the surface of living B cells that affect the distribution and possibly the function of their antigen receptors. The researchers' study has been published in The EMBO Journal.

The newborn's immune system is suddenly confronted with microorganisms, food and numerous environmental influences at birth. How do the baby's immune cells prepare for this moment during pregnancy and birth? How do external influences shape the immune system immediately after birth? And what influence does an event like a premature birth have?

University of Tübingen, a leading member of Cyber Valley, Europe’s largest Artificial Intelligence (AI) research consortium and Boehringer Ingelheim launch an AI and data science fellowship program for top talents from around the world. Three to five fellowships will be awarded per year for up to three years with a target of nine to fifteen fellows in the program after five years.

Innovative engineering approaches to research and teaching are at the core of the Faculty of Engineering Sciences, which Heidelberg University founded with the aim of pooling its technical and scientific expertise and expanding its range of research and subjects in an area of competence that is developing dynamically.

A centre for model-based artificial intelligence has been set up at Heidelberg University to link mathematical modelling methods with information processing in neuronal networks. The Carl Zeiss Foundation (CZS) is funding the CZS Heidelberg Center for Model-Based AI with five million euros over a period of six years.

The nuclease Cas13b associated with the CRISPR gene scissors, which is an enzyme that degrades nucleic acids, has the potential to be used in the future in hereditary diseases to switch off unwanted genes. In the fight against infections, this nuclease is also being researched as an antiviral agent, as Cas13b can specifically intervene in the genetic material of viruses and render them harmless.

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.

International research collaboration explores the properties of different neuron types in the brain motor cortex of mice, monkeys and humans using novel experimental and data analysis techniques.

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.

AI-based evaluation of medical imaging data usually requires a specially developed algorithm for each task. Scientists from the German Cancer Research Center (DKFZ) have now presented a new method for configuring self-learning algorithms for a large number of different imaging datasets – without the need for specialist knowledge or very significant computing power.

At a virtual event on Tuesday, the European Laboratory for Learning and Intelligent Systems presented the broad scope of research its units will cover in the field of modern AI.

Europe’s largest AI research consortium attracts interest from some of the world’s most successful venture capital firms.

The great potential of artificial intelligence (AI) and machine learning for the life sciences – from basic research in biology to medical applications – has largely been neglected to date. A new research unit aims to support AI research in the life sciences and to forge international links with the activities in Heidelberg.

Five new companies from the Stuttgart/Tübingen region in southwestern Germany have joined the Cyber Valley Start-Up Network. The innovative technologies and products of AmbiGate, Cytolytics, Mojin Robotics, plus10 and Tactai aim to achieve ground-breaking improvements in the fields of public health, manufacturing, and customer service. These start-ups join ten other companies that are already part of the Cyber Valley Start-Up Network.

Scientists from the Tübingen Competence Center for Machine Learning and physicians from the University Hospital of Tübingen have developed an app that uses anonymous health data to contribute to a better understanding of the novel coronavirus.

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.