AI-based microbiome analysis in aging

Focus topic: Artificial Intelligence
Type of funding: Large individual funding projects
Programme: CZS Individual funding
Funded institution:
  • Leibniz-Institut für Alternsforschung - Fritz-Lipmann-Institut e.V. (FLI)

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:

Lukas Findeisen

Program Manager

Phone: +49 (0)711 - 162213 - 20

E-mail: lukas.findeisen@carl-zeiss-stiftung.de

No image available
No image available

Prof. Dr. Alfred Nordheim

Leibniz-Institut für Alternsforschung - Fritz-Lipmann-Institut e.V. (FLI)

Detailed information:

Focus topic: Artificial Intelligence
Programme: CZS Individual funding
Type of funding: Large individual funding projects
Target group: Professors
Funding budget: 2.500.000 €
Period of time: January 2022 - December 2026

Funded institution:

Leibniz-Institut für Alternsforschung - Fritz-Lipmann-Institut e.V. (FLI)
Leibniz-Institut für Alternsforschung - Fritz-Lipmann-Institut e.V. (FLI)