AI-based microbiome analysis in aging
Focus topic: | Artificial Intelligence |
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Type of funding: | Large individual funding projects |
Programme: | CZS Individual funding |
Funded institution: |
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How can artificial intelligence in microbiome research lead to better early detection of Alzheimer's disease or type 2 diabetes? Novel AI models are being researched that are designed to predict the microbiome composition in the event of physiological changes.
Goals
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.
Involved persons:
Dr. Melike Dönertaş
Leibniz-Institut für Alternsforschung - Fritz-Lipmann-Institut e.V. (FLI)
Detailed information:
Focus topic: | Artificial Intelligence |
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Programme: | CZS Individual funding |
Type of funding: | Large individual funding projects |
Target group: | Professors |
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Funding budget: | 2.500.000 € |
Period of time: | January 2022 - December 2027 |