Innovative Diagnostics for AMR and Pathogen Identification

Our Clinical and Diagnostic Microbiology research group focuses on advanced diagnostic technologies to improve AMR detection and pathogen identification. A major area of interest is the integration of MALDI-TOF mass spectrometry with artificial intelligence (AI) and machine learning (ML) for faster and more accurate diagnostics.

Key projects include:

Advanced MALDI-TOF data analysis for better species differentiation
AI- and ML-supported prediction of antimicrobial resistance in MDR Gram-negative pathogens (e.g., Pseudomonas aeruginosa)

Additional Diagnostic Projects

Other ongoing initiatives include the sonication of heart valves to improve the microbiological diagnosis of infective endocarditis

Interested in learning more? Please don’t hesitate to contact us.

Portrait shot of Dr. Philipp Jung — © IMMH

Dr. rer. nat. Philipp Jung

Tel.: +49 (0) 6841 16-23904
Fax: +49 (0) 6841 16-23985
E-Mail: philipp.jung@uks.eu

Sophie Elisabeth Müller

Tel.: +49 (0) 6841 16-23925
Fax: +49 (0) 6841 16-23985
E-Mail: sophieElisabeth.Mueller@uks.eu

Selected publications by members of the research group covering this topic:

WGS for infection prevention and control in Africa

Becker SL (2020)

Lancet Microbe 1(3):e95-e96

DOI: 10.1016/S2666-5247(20)30067-7

Occurrence, resistance patterns, and management of carbapenemase-producing bacteria in war-wounded refugees from Ukraine

Berger FK, Schmartz GP, Fritz T, Veith N, Alhussein F, Roth S, Schneitler S, Gilcher T, Gärtner BC, Pirpilashvili V, Pohlemann T, Keller A, Rehner J, Becker SL (2023)

Int J Infect Dis. 132:89-92

DOI: 10.1016/j.ijid.2023.04.394