
Diversity Day 2026 at TWINCORE
Diverse Origins – One Goal

TWINCORE was founded in 2008 by the Helmholtz Centre for Infection Research and the Hannover Medical School. We combine the expertise of medical professionals and scientists from a wide range of disciplines to find answers to the pressing questions in infection research. Our focus: translational research – the bridge between basic science and clinical application.
The LISA Summer School 2026 takes place from 23 August to 11 September 2026. Registration is open until 31 March.
We conduct translational infection research to improve the prevention, diagnosis and treatment of infectious diseases in humans. We focus on three areas that characterize our research work. Find out here how we proceed and what results we achieve.
Under the leadership of our best scientists, various labs are working on different projects within our research topics.
Dinkelborg K, Niehaus C, Bremer B, Wundes C, Tiede A, Petruch N, Deterding K, Kraft A, Hartleben B, Cornberg M, Wedemeyer H, Behrendt P, Maasoumy B
Berg K, Haid S, Vafadarnejad E, Carpentier A, Geffers R, Wiegmann B, Saliba A, Erhard F, Pietschmann T
Behrens M, Terroba-Navajas P, Willemse E, Schädelin S, Comabella M, Münz C, Lauc G, Bartsch Y, Kuhle J, Lünemann J
The project investigates how HCMV is recognized by the immune system and which mechanisms the virus uses to camouflage itself. The aim is to understand the immune reactions and develop therapies for severely affected patients.
In this project, antibodies that help to ward off infections are being investigated in more detail. The aim is to find characteristics that have a protective effect against certain pathogens by comparing different antibody profiles in infections and vaccinations.
We are investigating how antibodies protect against HCV infection, in particular what properties they have during a healing infection. The aim is to identify antibodies that are important for an effective vaccine against HCV.
Thanks to high-throughput sequencing, genome sequences of hundreds of bacterial strains can be analyzed efficiently, revealing differences of up to 60 % in gene content, as in E. coli. With the help of machine learning, we want to better predict the functions of accessory genes and decipher their contribution to survival in specialized niches.
Prof. Dr. med. Axel Hamprecht
Institute of Medical Microbiology and Virology
Carl von Ossietzky Universität Oldenburg
"Carbapenemase-producing Enterobacterales - Molecular Characterization and Diagnostic Tools for the Early Detection of a Silent Epidemic"
"Why is knowledge in regulatory science important for translational medicine and basic science?"

