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.

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.

The mechanisms by which the body measures temperature and regulates its own body heat are vital, but still poorly understood. The discovery of the first heat sensor on nerve cells in the skin, for which the U.S. molecular biologist David Julius received this year's Nobel Prize for Medicine, was therefore pioneering.

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 - 22/06/2021

Using virtual reality in the clinic to rehabilitate patients with cognitive disorders

Outdated and inadequate methods of neurological rehabilitation are still being used for patients with neurological diseases or injuries – and what’s more, the treatment is usually too late. This is because cognitive training is especially important in the critical phases when the brain is particularly plastic. The Heidelberg-based company living brain proves that early treatment is possible using an extremely innovative method – with concentrated…

Which neurons in the brain mediate fear responses - and how do they flip the switch when the danger is over? The research team of Prof. Ingrid Ehrlich at the Institute of Biomaterials and Biomolecular Systems (IBBS), Department of Neurobiology studies these questions. Their latest results obtained in collaboration with scientists at the Friedrich Miescher Institute in Basel (Switzerland), the National Institute of Health (USA), and Innsbruck…

Neuroblastoma can spread relentlessly or shrink spontaneously. Scientists from the Hopp Children’s Cancer Center Heidelberg (KiTZ), the German Cancer Research Center (DKFZ), the University of Heidelberg and the National Center for Tumor Diseases (NCT) Heidelberg have shown that some malignant neuroblastomas employ a trick to avoid cell death: they use a special mechanism to lengthen the telomeres at the end of their chromosomes.

Article - 28/03/2019

Supporting the human use of artificial intelligence

Artificial intelligence is no longer a vision of the future, but is already in our midst: whether it is parking aids or search engines, we use the technology quite naturally in many areas of daily life. It promises new, unlimited opportunities, but also poses risks. Experts from the Integrata Foundation in Tübingen work on ethical issues and the human use of IT for improving the life of as many people as possible.

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.