Code
01G00220
Duration
01 January 2020 → 31 October 2025
Funding
Regional and community funding: Special Research Fund
Promotor-spokesperson
Research disciplines
-
Natural sciences
- Machine learning and decision making
- Medicinal and biomolecular chemistry not elsewhere classified
-
Medical and health sciences
- Bacteriology
- Infectious diseases
Keywords
Biofilm
microbial evolution
antibiotic resistance
machine learning
Project description
Because many mechanisms of reduced sensitivity in bacterial biofilms are still unknown, it is impossible to predict resistance. In this project we will allow bacteria to evolve in vitro in the presence of antibiotics, in order to map all mutations, differences in gene expression and relevant phenotypic characteristics. This will allow to develop a prediction algorithm using machine learning.