On July 11, students from the Technical University of Braunschweig presented the results of this year's software development internship. The event provided a platform for aspiring developers to showcase their semester projects and compete with other talents from the fields of Computer Science, Business Informatics, and Information Systems Engineering.
On 6 and 7 June 2024, the workshop of the GMDS/IBS-DR working groups 'Mathematical Models in Medicine and Biology' and 'Statistical Methods in Bioinformatics' took place in Dresden.
The paper 'Inference of differential gene regulatory networks using boosted differential trees' has recently been published in Bioinformatics Advances.
Currently, some people suffering from depression cannot be helped with standard therapies. Therefore, a national project is investigating how the treatment of depression can be tailored more closely to individual patients.
HealthHack 2023 - we'll be a part of it! On March 4 and 5 it's hack, tinker, code for the health and care of tomorro wat the TRAFO Hub in Braunschweig! As a participating institution, we are looking forward to many exciting ideas. Will we see you in Braunschweig? Register now! More information can be found [here](https://metropolregion.de/gesundheit/healthhack/)!
Artificial Intelligence (AI) is a widely discussed topic and considered as one of the key technologies of the future. However, responsibly applying AI requires knowledge about its fundamentals. In order to implement more AI in academic teaching, TU Braunschweig takes part in the KI4ALL initiative in cooperation with two other universities based in Lower Saxony.
For her talk on 'Biomarker Mining for Neurodegenerative and -inflammatory Diseases' Lisa-Marie Bente has been voted second place by professors and other PhD students at the BIOMEDAS retreat.
During the Workshop on Computational Methods in Biology and Medicine 2022, Tim Kacprowski has been elected as one of three leaders of the working group Statistical Methods in Bioinformatics of the GMDS e.V.
Togther with many great collegaues, we have proposed a standardized registry for artificial intelligence (AI) in biomedicine to improve the reproducibility of results and create trust in the use of AI algorithms in biomedical research and, in the future, in everyday clinical practice. The paper has appeared in _Nature Methods_ and is freely available at [https://rdcu.be/cv5H7](https://rdcu.be/cv5H7).