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  • Press release - 07/10/2021

    First comprehensive atlas of neuron types in the brain published

    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.

    https://www.gesundheitsindustrie-bw.de/en/article/press-release/first-comprehensive-atlas-neuron-types-brain-published
  • Press release - 09/09/2021

    Machine learning improves biological image analysis

    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.

    https://www.gesundheitsindustrie-bw.de/en/article/press-release/machine-learning-improves-biological-image-analysis
  • Article - 09/10/2019 Der Kopf eines Wissenschaftlers vor einem Computerbildschirm mit Molekülmodell.

    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.

    https://www.gesundheitsindustrie-bw.de/en/article/news/epigenomik-aus-dem-cyber-valley
  • Article - 21/02/2019 A person wearing an EEG cap and controlling a robotic arm using brain signals.

    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.

    https://www.gesundheitsindustrie-bw.de/en/article/news/using-neuromedical-artificial-intelligence-responsibly
  • Article - 07/02/2019 Ein Porträtfoto des Mediziners.

    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.

    https://www.gesundheitsindustrie-bw.de/en/article/news/artificial-intelligence-in-ophthalmology

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