A building with 7400 m² of research space for robotics and artificial intelligence is being built on the Max Planck Campus in Büsnau. Researchers from the Max Planck Institute for Intelligent Systems (MPI-IS) and the University of Stuttgart will be working there with partners from science and industry as well as start-ups from 2027.

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.

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.

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.

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 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.

Whether we are predisposed to particular diseases depends to a large extent on the countless variants in our genome. However in the case of genetic variants the influence on the presentation of certain pathological traits has been difficult to determine. Researchers have introduced an algorithm based on deep learning that can predict the effects of rare genetic variants.

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.

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.

At the finale of the Cyber Valley Days, and Science Minister Petra Olschowski opened the ELLIS Institute Tübingen, heralding the next phase of the AI Innovation Campus. With the world's first ELLIS Institute, Cyber Valley is gaining further radiance. Olschowski also announced at the ceremony that the Karlsruhe Institute of Technology (KIT) is joining the Cyber Valley Community.

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.

Since 2019, the Research Training Group (RTG) "Intraoperative Multisensoric Tissue Differentiation in Oncology," a collaboration between the University of Stuttgart and the University of Tübingen, has been advancing research in medical technology. With the help of new sensor methods, the researchers want to help make surgical procedures on cancer patients safer and more effective.

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.

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.

Team involving the University of Freiburg has developed a new analytical method for the basement membrane in human lungs.

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.

The family-owned 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.

Current diagnostic methods do not always reliably distinguish between chronic inflammation of the pancreas and pancreatic cancer. About one third of all diagnoses are inconclusive. Scientists from the German Cancer Research (DKFZ) and from Heidelberg University Hospital (UKHD) therefore searched for molecular markers that could specify this diagnosis.

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.