gms | German Medical Science

62. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e. V. (GMDS)

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie

17.09. - 21.09.2017, Oldenburg

Methods in Systems Medicine

Meeting Abstract

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  • author Benjamin Löhnhardt - University Medical Center Göttingen, Operational Division of Information Technology (G3-7), Göttingen, Deutschland
  • Ulrich Sax - University Medical Center Göttingen, Department of Medical Informatics, Göttingen, Deutschland
  • Tim Beißbarth - University Medical Center Göttingen, Department of Medical Informatics, Göttingen, Deutschland

Deutsche Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie. 62. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS). Oldenburg, 17.-21.09.2017. Düsseldorf: German Medical Science GMS Publishing House; 2017. DocAbstr. 238

doi: 10.3205/17gmds189, urn:nbn:de:0183-17gmds1898

Published: August 29, 2017

© 2017 Löhnhardt et al.
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 License. See license information at http://creativecommons.org/licenses/by/4.0/.


Outline

Text

1. Contact

Name: Löhnhardt, Benjamin

Institution: University Medical Center Göttingen, Operational Division of Information Technology (G3-7)

Address: Robert-Koch-Straße 40, 37075 Göttingen

Telephone: 0551-39 22842

EMail: Benjamin.Loehnhardt@med.uni-goettingen.de

2. Workshop Description

Increasing amounts of high-throughput data sets are collected during the examination of patients, in particular imaging data, and data from genome-wide screening techniques like next-generation sequencing (NGS) or proteomics. The analysis of these complex data sets identifies new challenges for biomedical informatics, medical bioinformatics, biostatistics, and systems medicine. Finally, it aims at a more precise classification of patient groups during the diagnosis and therefore it enables customized therapies in personal medicine.

Systems medicine is a new research field within translational medical research. In systems medicine the focus of diagnose on the basis of single biomarkers should be extended to a systematic understanding of a complex disease. In this interdisciplinary workshop, experts from different domains like biomedical informatics, medical bioinformatics, biostatistics, and systems medicine will present their perspectives. Thereby, the methods from data acquisition, data management, statistical analysis, data modelling, and the overlap between these domains should be discussed.

The workshop will be part of the theme systems medicine at the GMDS conference. The sessions of this theme will be held on wednesday and should contain besides the workshop a keynote, a session of contributed talks and a round table discussion. After the workshop a round table discussion will take place with experts from the fields systems medicine and medical bioinformatics as well as leading figures of the GMDS. In this round table discussion the topic will be on how to embed the topics systems medicine and medical bioinformatics more into the GMDS and how to boost the activities of the envisioned new GMDS division systems medicine and medical bioinformatics.

3. Audiences

The workshop addresses a wide audience from the areas of bioinformatics, medical informatics, and systems biology to biostatistics as well as epidemiology. The workshop should give an overview over the field and especially address the overlaps and interfaces between all the different research areas and scientific communities active in systems medicine research. Thus it should allow gaining a better understanding on how the different research areas in the GMDS interact and thus models should be discussed on how the structure of the GMDS should be developed in order to address all these different research topics.

4. Methods

In several talks bridging the domains of biomedical informatics, medical bioinformatics, biostatistics, and systems medicine, the demands, challenges, and potential solutions regarding data-driven models in systems medicine should be presented. Furthermore, a fruitful interdisciplinary discussion should be encouraged.