Donor-Recipient Matching Based on Predicted Indirectly Recognizable HLA Epitopes Independently Predicts the Incidence of De Novo Donor-Specific HLA Antibodies Following Renal Transplantation (2017)

Authors of Publication: Nils Lachmann, Matthias Niemann, Petra Reinke, Klemens Budde, Danilo Schmidt, Fabian Halleck, Axel Pruß, Constanze Schönemann, Eric Spierings, and Oliver Staeck.

Appeared in: American Journal of Transplantation (14th of June, epub ahead of print)

 

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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