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 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 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 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