Matthias holds a Masters degree in Computer Science with a major in software engineering and a minor in Bioinformatics from Berlin University (Freie Universität). While working at Charité University Hospital in Berlin, he developed a database for kidney transplantation data and worked on various laboratory information systems and research databases. His research at Charité focused on epitope matching models and machine learning. He was instrumental in the implementation methods to increase data quality. Since fall 2014 he focuses at PIRCHE on further improving the PIRCHE algorithm and investigating the technology's power in new domains.

The PIRCHE® technology: Predicting HLA epitopes being indirectly recognized improves donor selection in various transplantation settings

University Medical Center (UMC) Utrecht has developed a new method to select permissible mismatches. This technology applies to hematopoietic stem cell transplantation, solid organ transplantation, and other domains improving graft acceptance and therapy effectiveness. The new technology named PIRCHE® forecasts T-cell related immune responses against HLA derived peptides after transplantation(3). In contrast to existing technologies, […]

Cord Blood Symposium 2014: Poster Award for Kirsten Thus

Kirsten Thus’ poster presented at the 12th San Francisco Cord Blood Symposium shows that “Predicted Indirectly ReCognizable HLA Epitopes (PIRCHES) correlate with chronic graft-versus-host- disease and relapse-related mortality in paediatric patients after Cord Blood transplantation”. Interestingly, the risk for cGvHD is increased with more PIRCHEs presented on HLA class II whereas lower numbers of PIRCHE […]