Working with a new Emmy Noether Group, Dr. Pascal Schlosser is investigating how machine learning can aid in understanding the complex relationships between genes, proteins, and diseases.

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.

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.

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.

The reproducible and precise production of complex organoid models to simulate human organ malfunctions is the focus of an interdisciplinary research project at Heidelberg University. A research team from the life and engineering sciences is looking to combine the engineering of molecular systems with machine learning and automated production 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.

Making a personalised T cell therapy for cancer patients currently takes at least six months; scientists at the German Cancer Research Center (DKFZ) and the University Medical Center Mannheim have shown that the laborious first step of identifying tumor-reactive T cell receptors for patients can be replaced with a machine learning classifier that halves this time.

An Emmy Noether junior research group at Heidelberg University is investigating how to gain new insights into fundamental biological mechanisms from large-scale molecular data sets. Led by Junior Professor Dr Britta Velten, it has started work at the Centre for Organismal Studies and the Interdisciplinary Center for Scientific Computing.

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.

A recent article by Prof. Dr. Martin Haimerl and Prof. Dr. Christoph Reich of Furtwangen University shows that machine learning (ML) in medicine is often evaluated without a comprehensive risk assessment. The authors investigated the extent to which current scientific papers include risk-based metrics in the evaluation of AI models for medical devices.

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.

Baden-Württemberg AI Alliance - 08/04/2025

Achieving widespread use of AI

Artificial intelligence presents both opportunities and risks. The Baden-Württemberg AI Alliance is dedicated to fostering collaboration among AI stakeholders to ensure that AI solutions deliver tangible benefits to citizens and businesses across the state. The alliance will also place greater emphasis on advancing AI applications within the healthcare sector.

Vicinity Bio: Optimisation of cancer diagnostics - 27/11/2024

Comprehensive histological diagnostics through high-dimensional imaging and artificial intelligence

Microscopic examination of tissue samples is essential, particularly in tumour diagnostics. The Tübingen-based company Vicinity Bio leverages cutting-edge imaging technologies combined with machine learning to generate comprehensive datasets of individual cells from tissue sections. This approach not only helps identify more targeted therapies but also enhances our understanding of cellular functions and processes within tissues and tumours.

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.

Tübingen achieves remarkable success and has good chance of maintaining its University of Excellence title – Top research in three areas to be sustained from other sources of support.

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.

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.

Scientists have long sought ways to simulate the neural networks in the brain with computers in order to understand how it works. Now, researchers have combined new measurements of the wiring diagrams of the fruit fly with artificial intelligence methods to build a neural network that can do what few thought possible: To predict the activity of individual neurons without making a single measurement in a living brain.

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.

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.

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.

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?

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.

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.

Five transnational and cross-institutional doctoral networks at Heidelberg University are being funded as part of the “Marie Skłodowska-Curie Actions”. They work together on current scientific topics with high innovation potential. Ruperto Carola coordinates an MSCA Doctoral Network on artificial intelligence in physics, two networks in medicine, life sciences and engineering.