Join us for the 1st GGPONC User Group Meeting

Event Details

We are delighted to invite you to join the 1st

GGPONC user group meeting:
Bringing Together the NLP and Clinical Guideline Communities

taking place as an online meeting.

Online Meeting Details:

We are using an open big blue button video conference. For joining, please visit using a latest Browser supporting HTML5. Once you have joined you can connect your webcam and microphone to participate in person or add your feedback to the chat.


Please note: all agenda times are CET (GMT+1).

9.00 – 9.10Opening remarks and the story of GGPONC
Florian Borchert (HPI), Matthieu-P. Schapranow (HPI)
9.10 – 9.35


Language resources for processing German-language medical documents
Udo Hahn (FSU Jena)

Session 1: Real-life Use Cases of German-language Clinical NLP

9.40 – 9.55Annotating German discharge letters from the cardiology department with cardiovascular concepts and drug indication
Phillip Richter-Pechanski (UK Heidelberg)
9.55 – 10.10Training a language model on radiological text data
Keno Bressem (Charité Berlin)
10.10 – 10.25Classifying symptoms from cardiology discharge letters
Jasper Hochmann (UKSH Kiel)
10.25 – 10.40NLP models to process German clinical text
Roland Roller (DFKI Berlin)
10.40 – 11.00Joint discussion
11.00 – 11.10Bio Break

Session 2: Clinical Guidelines as a Resource for NLP Research

11.10 – 11.25Digital guideline content: Goals and perspectives of guideline developers
Gregor Wenzel (Leitlinienprogramm Onkologie)
11.25 – 11.40Personalized guideline-based treatment recommendations for colorectal cancer
Markus Becker (FH Dortmund)
11.40 – 11.55WisPerMed: Knowledge- and data-driven personalization of medicine at the point of care
Britta Böckmann (UK Essen / FH Dortmund)
11.55 – 12.15GGPONC 2.0 pre-rerelease announcement and outlook
Florian Borchert, Matthieu-P. Schapranow (HPI)
12.15 – 12.35Joint discussion
12.35 – 12.40Closing remarks


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About Matthieu-P. Schapranow

Dr.-Ing. Matthieu-P. Schapranow is Leader of the Working Group "In-Memory Computing for Digital Health" and Scientific Manager Digital Health Innovations at the Hasso Plattner Institute (HPI). He is a valued member of the Platform Learning Systems and contributes to the Federal Association for Information Technology, Telecommunications and New Media (BITKOM) and the Global Alliance for Genomics and Health. Dr.-Ing. Schapranow holds a PhD as well as the MSc and BSc degrees in Software Engineering. He was named as one of the top Elite Researchers in Life Sciences in 2016 and one of Germany's Top 10 Junior Scientists in 2015. Furthermore, he was honored with the Personalized Medicine Convention Award 2015, the European Life Science Award in 2014, and the Innovation Award of the German Capital Region in 2012. Together with Prof. Dr. Plattner, he published the textbook "High-Performance In-Memory Genome Data Analysis" in 2013.