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Latest News

“Bone2Gene” Secures €1 Million Grant

The “Bone2Gene” project of researchers from the University of Bonn and University Hospital Bonn has been awarded funding worth €1,000,000 as part of the Federal Ministry of Education and Research’s GO-Bio initial program. The money is now enabling the team to progress to the feasibility phase and get its product ready for market launch. This is actually the second grant that the project has secured, the first having been used for the conceptual phase and to test the product’s marketability. “Bone2Gene“ is using artificial intelligence (AI) to make genetic bone conditions known as skeletal dysplasia easier to spot and diagnose.

From text to structured information securely with AI

Artificial intelligence (AI) and above all large language models (LLMs), which also form the basis for ChatGPT, are increasingly in demand in hospitals. However, patient data must always be protected. Researchers at the University Hospital Bonn (UKB) and the University of Bonn have now been able to show that local LLMs can help structure radiological findings in a privacy-safe manner, with all data remaining at the hospital. They compared various LLMs on public reports without data protection and on data-protected reports. Commercial models that require data transfer to external servers showed no advantage over local, data protection-compliant models. The results have now been published in the journal "Radiology".

New Training Technique for Highly Efficient AI Methods

AI applications like ChatGPT are based on artificial neural networks that, in many respects, imitate the nerve cells in our brains. They are trained with vast quantities of data on high-performance computers, gobbling up massive amounts of energy in the process. Spiking neurons, which are much less energy-intensive, could be one solution to this problem. In the past, however, the normal techniques used to train them only worked with significant limitations. A recent study by the University of Bonn has now presented a possible new answer to this dilemma, potentially paving the way for new AI methods that are much more energy-efficient. The findings have been published in Physical Review Letters.

Inflammatory diseases influence the course of hair loss

Asthma, atopic dermatitis or Hashimoto's thyroiditis as concomitant diseases are risk factors for clinical features associated with a poor prognosis in circular hair loss, also known as alopecia areata (AA). In patients with three atopic diseases, namely atopic dermatitis, asthma and rhinitis, the average age of onset of AA is about ten years earlier than in patients without chronic inflammatory comorbidities. This has now been established by researchers from the University Hospital Bonn (UKB) and the University of Bonn in a large cohort study of affected patients. Their results have now been published in the journal "Allergy".

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Thursday Jan 16, 2025

Geodetic Colloquium in Wintersemester 2024/2025

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04:15 PM - 06:45 PM

Sara Gidlund European Space Agency (ESA) - ESTEC Noordwijk, The Netherlands ESA’s Genesis mission – Space geodesy for navigation and beyond

Thursday Jan 16, 2025

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Sunday Jan 19, 2025

Sonntagsführung im Akademischen Kunstmuseum

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Jeden Sonntag werden von engagierten Studierenden der Fächer der Archäologien Sonntagsführungen zur antiken Kultur innerhalb des Akademischen Kunstmuseum ...

Monday Jan 20, 2025

Cysteine peptidase inhibitors

Pharm. Institut, ...

05:15 PM - 06:30 PM

Pharmazeutisches Kolloquium, Cysteine peptidase inhibitors as regulators of anti-tumor immune response, Prof. Dr. Janko Kos, Department of Biotechnology, ...