Medical Informatics for Translational Oncology

Division of Medical Informatics for Translational Oncology

Prof. Dr. Frank Ückert


Our agile working team of individual talents pursues a vision: We want to turn highly complex data, along with the experiences of others and in partnership with experts from different disciplines, into knowledge that can be used against cancer.

In the department "Medical Informatics for Translational Oncology" (E240), or MITRO for short, we create innovative processes as well as tailor-made methods and tools for physicians and researchers in order to open up heterogeneous databases for cancer research, enable interdisciplinary and international cooperation and provide complex analyzes simplify.

To do this, we work to integrate data from different sources to the same patient and / or subjects in an IT system, which we call "Electronic Science Record" (ESR). A component of the ESR, which also uses various analysis tools such as MRI on HANA from SAP, cBioPortal and tranSMART, is our Data Warehouse. The data collected here, for example MR series, complete genome sequences and phenotype descriptions, are automatically combined with information from publications and from a variety of databases. From this we want to provide, via knowledge of models, but also algorithms of machine learning, clinical decision support and generate research hypotheses, but also contribute to a deeper understanding of the disease.

The added value of bringing together data holders and methodologists benefits molecular biologists and data-explorers.


Prof. Dr. Frank Ückert
Medical Informatics for Translational Oncology (E240)
Deutsches Krebsforschungszentrum
Im Neuenheimer Feld 280
69120 Heidelberg
Tel: +49 6221 42-5101

Selected Publications

  • Storf H, Stausberg J, Kindle G, Quadder B, Schlangen M, Walter MC, Ückert F, Wagner TOF (2020): Patientenregister für Seltene Erkrankungen in Deutschland: Konzeptpapier der Strategiegruppe „Register“ des Nationalen Aktionsbündnisses für Menschen mit Seltenen Erkrankungen (NAMSE). Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz. 2020 May. doi:10.1007/s00103-020-03151-6.
  • Ahlbrandt J, Lablans M, Glocker K, Stahl-Toyota S, Maier-Hein K, Maier-Hein L, Ückert F. (2018): Modern Information Technology for Cancer Research: Whats in IT for Me? An Overview of Technologies and Approches. In: Oncology, 2018 Nov 15:1-7. DOI: 10.1159/000493638.
  • Lablans, Martin; Kadioglu, Dennis; Mate, Sebastian; Leb, Ines; Prokosch, Hans-Ulrich; Ückert, Frank (2016): Strategien zur Vernetzung von Biobanken. Klassifizierung verschiedener Ansätze zur Probensuche und Ausblick auf die Zukunft in der BBMRI-ERIC. In: Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz 59 (3), S. 373–378. DOI: 10.1007/s00103-015-2299-y.
  • Lablans, Martin; Borg, Andreas; Ückert, Frank (2015): A RESTful interface to pseudonymization services in modern web applications. In: BMC medical informatics and decision making 15, S. 2. DOI: 10.1186/s12911-014-0123-5.
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