In recent years, artificial intelligence (AI) has rapidly gained importance in the field of infection medicine and individualized patient care. Nevertheless, the management of complex multi-omics data sets and the precise prediction of disease progression remains a demanding challenge. The upcoming CAIMed Meet-up is therefore dedicated to innovative AI methods and sheds light on how they can contribute to the treatment of infections and post-acute infection syndromes (PAIS) .

We look forward to welcoming you at January 30, 2025 (TWINCORE, Feodor-Lynen-Straße 7, 30625 Hannover) to discuss how AI-based models can identify critical biomarkers, customize therapeutic strategies and enable the early detection of PAIS. During the event, researchers from the CAIMed consortium will present the latest findings on topics such as single-cell sequencing, spatial transcriptomics and advanced multi-omics analysis.

You can look forward to inspiring presentations, exciting discussions and valuable networking opportunities!

Please register in advance to confirm your participation.