EFI Conference 2018

This year’s European Immunogenetics and Histocompatibility Conference in Venice is over. What a great meeting. We thank all of you who approached us at our booth, attended our presentations or took a look at the posters involving PIRCHE.

Furthermore, we would like to thank all the authors and co-authors who were working on different projects showing the value and potential of PIRCHE matching in all different kind of scenarios:

  • O21: “Simulating thrombocyte transfusions to investigate the role of T-helper and B-cell epitopes on the risk for platelet refractoriness”, Kirsten Geneugelijk et al.
  • O24: “Computational simulations demonstrate the feasibility and benefit of epitope matching for kidney transplantation”, Matthias Niemann et al.
  • O45: “HLA epitope matching of kidney transplants predicts antibody- and cell-mediated rejection”, Nils Lachmann et al.
  • P54: “Eplet and PIRCHE-II analysis of antibody reactivity after first pregnancy”, Rene J. Duquesnoy et al.
  • P49: “Epitope-based HLA matching: in silico strategies to predict de novo donor-specific antibodies in kidney transplantation”, Sandra Tafulo et al.

We’ll link the abstracts as soon as they are published.

 

Matthias Niemann

Matthias Niemann

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.
Matthias Niemann