AI-based microbiome analysis in aging

The aim of the project is to establish an interdisciplinary junior research group at the interface between aging research, microbiome research and AI. In terms of content, the group will focus on the development and application of specific and explainable AI methods for further research into the microbiome. Neural networks will be used to develop powerful and accurate models that allow prediction of microbiome composition in the context of physiological changes, e.g., during aging or due to environmental influences. By modeling microbiotic dynamics, new insights can be gained in Alzheimer's disease or type 2 diabetes.