Healthcare industry

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.

On Tuesday, July 18, 2023, the Tübingen AI Center held a symposium to celebrate its permanent establishment as a national AI center. Since July 1, 2022, it has received 20 million euros a year in funding from the federal government and the state.

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.

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.