The international research project MitoContact is dedicated to investigating how organelles within a cell communicate and interact with other cellular components. Kai Johnsson, Director at the Max Planck Institute for Medical Research, has received funding from the ERC for this project. The findings are expected to provide new insights into fundamental cellular processes and contribute to a better understanding of various diseases.

Most everyday moments are quickly forgotten, while others stay with us for a lifetime. How the brain determines which memories are retained and which are lost remains an open question. A neuroscience team at the University of Tübingen, has found that spontaneous fluctuations in the brain’s internal state influence how ready the memory system is to store new information.

A team of researchers from the Heidelberg Institute for Theoretical Studies and the Max Planck Institute for Polymer Research have developed a model that learns how to generate proteins whose structures are highly flexible, even with patterns that are uncommon in natural proteins. Their work, marks a step towards the goal of designing new proteins for applications in biotechnology, therapeutics and environmental research.

AI is transforming science and does not stop at neuroscience. In this interview, we speak to Gabriele Lohmann about her research at the intersection of the brain and algorithms. She talks about the use of artificial intelligence as a research tool, the decoding of brain activity, and why large language models do not understand what they are doing.

AI plays a huge role in the semiconductor industry, both by facilitating more efficient development processes and as a target application in development work. This is why the Fraunhofer Heilbronn Research and Innovation Centers HNFIZ are adding the Chip AI research and innovation center for AI chip design to their service range. The center is funded via the Dieter Schwarz Foundation.

CorTec GmbH, a pioneer in active implantable medical technologies, announced the successful second implantation of its proprietary Brain-Computer Interface system in a clinical trial. The implantation follows neurological gains observed in the study’s first participant. This represents another key milestone to evaluate CorTec’s fully implantable closed-loop BCI platform for therapeutic applications.

Scientists at the German Cancer Research Center (DKFZ), Heidelberg University Hospital (UKHD), and Mannheim University Medical Center (UMM) are presenting a method that enables artificial intelligence (AI) to learn how to transfer medical image data from animals to humans. This “xeno-learning” could help make surgical procedures safer and more precise in the future – without relying on human training data.

A new software enables brain simulations which both imitate the processes in the brain in detail and can solve challenging cognitive tasks. The program was developed by a research team at the Cluster of Excellence ‘Machine Learning: New Perspectives for Science’ at the University of Tübingen. The software thus forms the basis for a new generation of brain simulations which allow deeper insights into the functioning and performance of the brain.

Designing protein binders from scratch has long been a daunting challenge within the field of computational biology. Researchers have now developed an innovative, training-free pipeline that uses the fundamental principle of shape complementarity to design site-specific protein binders, which are then optimised to fit precisely onto chosen target sites. The researchers tested this on proteins linked to cancer.

A team of researchers from HITS and MPIP have developed a model that learns how to generate proteins whose structures are highly flexible, even with patterns that are uncommon in natural proteins. Their work, presented at the International Conference on Machine Learning (ICML), marks a step towards the goal of designing new proteins for applications in biotechnology, therapeutics and environmental research.

AI-supported image recognition accelerates identification of zebrafish mutants - 16/07/2025

EmbryoNet AI automatically identifies developmental disorders

In complex organisms, embryonic development is tightly regulated by intricate signalling pathways. When these pathways are disrupted, they can lead to characteristic developmental defects that are not easy to detect with the naked eye. Developmental biologist Prof. Dr. Patrick Müller from the University of Konstanz has developed EmbryoNet, an AI-powered software tool that uses image analysis to reliably identify such developmental disorders.

The human brain continuously processes sensory impulses that compete for our attention. Our ability to select enables us to process specific information and ignore irrelevant stimuli. In this way, we can recognize a familiar face in a large crowd of people. But how is this made possible?

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.

Using a new combination of three sensors and artificial intelligence, researchers at Heidelberg Medical Faculty of Heidelberg University and Heidelberg University Hospital are recognising patterns in babies' movements that show whether their nervous system is developing healthily.

Pancreatic cancer is fueled by connections to the nervous system. This is reported by scientists from the German Cancer Research Center (DKFZ) and the Heidelberg Institute for Stem Cell Technology and Experimental Medicine (HI-STEM)*. The team discovered that the tumor reprograms the neurons for its own benefit.

Transcranial magnetic stimulation (TMS) - 10/12/2024

sync2brain: using magnetic waves to combat depression

In cases where standard therapies for mental illnesses such as depression prove ineffective, transcranial magnetic stimulation (TMS) offers a promising alternative. This method uses magnetic pulses to stimulate specific regions of the brain. The company sync2brain has developed a system that leverages EEG measurements to tailor stimulation to each patient's unique brain wave patterns, that may significantly enhance the therapy's…

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.

Neurosciences - 28/02/2024

Mesh microelectrode arrays: research with brain organoids on a new level

How does the brain work? Brain organoids are derived from pluripotent stem cells and regarded as valuable model systems that can depict some aspects of neurological functioning. Dr. Peter Jones from NMI together with Dr. Thomas Rauen from the MPI for Molecular Biomedicine in Münster, has taken organoid research to a new level. His novel mesh microelectrode array (Mesh-MEA) greatly improves the growth and electrophysiological analysis of tissue.

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.

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.

In the field of optogenetics, scientists investigate the activity of neurons in the brain using light. A team led by Prof. Dr. Ilka Diester and Dr. David Eriksson from the Optophysiology Laboratory at the University of Freiburg has developed a new method to simultaneously conduct laminar recordings, multifiber stimulations, 3D optogenetic stimulation, connectivity inference, and behavioral quantification on brains.

Intelligent Diagnostics - 09/02/2022

AI for added value in digital melanoma diagnostics

Intelligent Diagnostics is an interdisciplinary project that brings together the latest technologies and research institutes to better support doctors in diagnosing skin cancer through innovative imaging and artificial intelligence.

microRNA as a prognostic biomarker - 13/01/2022

Heart attack diagnosis: fast and unambiguous thanks to artificial intelligence

People that arrive in emergency rooms with chest pain require swift action in order to rule out a heart attack or to initiate vital life-saving therapy. However, despite many advances, current tests are not yet optimal: they either take hours or produce false-positive results. Researchers at Heidelberg University Hospital are now using AI in an approach that takes microRNAs from a blood sample to specifically diagnose ‘acute coronary syndrome’.

Rolandic epilepsy is a common form of epilepsy in children which occurs primarily during sleep. Short sounds played during sleep can partially suppress the neuronal discharges characteristic of epilepsy. That’s according to a research team from the University of Tübingen and Tübingen University Hospitals. The team is headed by Dr. Hong-Viet Ngo and Professor Jan Born from the Institute of Medical Psychology and Behavioral Neurobiology.