Prof. Dr. Erwin Böttinger

Tamara Slosarek

Research Assistant, PhD Candidate

Phone: +49-(0)331 5509-4847

Room: G-2.2 12/13

Email: tamara.slosarek(at)hpi.de

Web: LinkedIn

Research Project

  • CHIC: Comprehensible Health Information Communication by Digital Means


  • 1.
    Lewkowicz, D., Slosarek, T., Wernicke, S., Winne, A., Wohlbrandt, A.M., Bottinger, E.: Digital Therapeutic Care and Decision Support Interventions for People With Low Back Pain: Systematic Review. JMIR Rehabil Assist Technol. 8, e26612 (2021).
  • 2.
    Konigorski, S., Wernicke, S., Slosarek, T., Zenner, A.M., Strelow, N., Ruether, F.D., Henschel, F., Manaswini, M., Pottbäcker, F., Edelman, J.A., Owoyele, B., Danieletto, M., Golden, E., Zweig, M., Nadkarni, G., Böttinger, E.: StudyU: a platform for designing and conducting innovative digital N-of-1 trials, https://arxiv.org/abs/2012.14201, (2020).
  • 3.
    Slosarek, T., Wohlbrandt, A., Böttinger, E.: Using CEF Digital Service Infrastructures in the Smart4Health Project for the Exchange of Electronic Health Records. arXiv preprint arXiv:2001.01477. (2020).
  • 4.
    Slosarek, T., Kraus, M., Schapranow, M.-P., Bottinger, E.: Qualitative Comparison of Selected Indel Detection Methods for RNA-Seq Data. International Work-Conference on Bioinformatics and Biomedical Engineering. pp. 166–177. Springer (2019).
  • 5.
    Kraus, M., Hesse, G., Slosarek, T., Danner, M., Kesar, A., Bhushan, A., Schapranow, M.-P.: DEAME-Differential Expression Analysis Made Easy. Heterogeneous Data Management, Polystores, and Analytics for Healthcare. pp. 162–174. Springer (2018).
  • 1.
    Perscheid, C., Faber, L., Kraus, M., Arndt, P., Janke, M., Rehfeldt, S., Schubotz, A., Slosarek, T., Uflacker, M.: A Tissue-aware Gene Selection Approach for Analyzing Multi-tissue Gene Expression Data. The 9th Workshop on Integrative Data Analysis in Systems Biology (IDASB), IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2018).