The project investigates the use of artificial intelligence (AI) to analyze human antimicrobial peptide (AMP) memory in epithelial cells as a potential strategy against antimicrobial resistance (AMR). Since AMR is an increasing global threat and conventional antibiotics often lose effectiveness, AMP could be a promising alternative. These endogenous antimicrobial molecules have the advantage that they are less likely to cause resistance.

In particular, the project investigates whether epithelial cells can develop immunological memory. This means that after an initial infection, they release specific AMP more quickly and in a more targeted manner to protect themselves against reinfection. This could be an important starting point for new therapies and drug developments.


Contact: Sandra Clemens

Funding line 5 “LOEWE Expoloration”