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  4. Integratives Konzept zur personalisierten Präzisionsmedizin in Prävention, Früh-Erkennung, Therapie und Rückfallvermeidung am Beispiel von Brustkrebs

Integratives Konzept zur personalisierten Präzisionsmedizin in Prävention, Früh-Erkennung, Therapie und Rückfallvermeidung am Beispiel von Brustkrebs

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  • An AI-based framework for visualizing and analyzing massive amounts of 4D tomography data for beamline end users
  • An AI-based framework for visualizing and analyzing massive amounts of 4D tomography data for beamline end users
  • An AI-based framework for visualizing and analyzing massive amounts of 4D tomography data for beamline end users

Integratives Konzept zur personalisierten Präzisionsmedizin in Prävention, Früh-Erkennung, Therapie und Rückfallvermeidung am Beispiel von Brustkrebs

Integratives Konzept zur personalisierten Präzisionsmedizin in Prävention, Früh-Erkennung, Therapie und Rückfallvermeidung am Beispiel von Brustkrebs

(Third Party Funds Single)

Overall project:
Project leader: Matthias Beckmann, Peter Fasching, Björn Eskofier, Peter Dabrock, Hans-Ulrich Prokosch, Andreas Maier, Oliver Schöffski
Project members: Alexander Hein, Arndt Hartmann, Madeleine Flaucher, Thomas Robert Altstidl, Markus Wirth, Tabea Ott, Michael Nissen
Start date: October 1, 2020
End date: September 30, 2024
Acronym: DigiOnko FAU
Funding source: Bayerisches Staatsministerium für Gesundheit und Pflege, StMGP (seit 2018)
URL:

Abstract

Breast cancer is one of the leading causes of death in the field of oncology in Germany. For the successful care and treatment of patients with breast cancer, a high level of information for those affected is essential in order to achieve a high level of compliance with the established structures and therapies. On the one hand, the digitalisation of medicine offers the opportunity to develop new technologies that increase the efficiency of medical care. On the other hand, it can also strengthen patient compliance by improving information and patient integration through electronic health applications. Thus, a reduction in mortality and an improvement in quality of life can be achieved. Within the framework of this project, digital health programmes are going to be created that support and complement health care. The project aims to provide better and faster access to new diagnostic and therapeutic procedures in mainstream oncology care, to implement eHealth models for more efficient and effective cancer care, and to improve capacity for patients in oncologcal therapy in times of crisis (such as the SARS-CoV-2 pandemic). The Chair of Health Management is conducting the health economic evaluation and analysing the extent to which digitalisation can contribute to a reduction in the costs of treatment and care as well as to an improvement in the quality of life of breast cancer patients.

Publications

  • Flaucher M., Zakreuskaya A., Nissen M., Mocker A., Fasching P., Beckmann M., Eskofier B., Leutheuser H.:
    Evaluating the Effectiveness of Mobile Health in Breast Cancer Care: A Systematic Review
    In: Oncologist (2023)
    ISSN: 1083-7159
    DOI: 10.1093/oncolo/oyad217
    BibTeX: Download
  • Flaucher M., Zakreuskaya A., Jäger K., Richer R., Smeddinck JD., Kumar D., Grimme S., Klein J., Hrynyschyn R., Eskofier B., Leutheuser H.:
    Your Health, Your Data: Combining Interdisciplinary Views, Concepts, and Practices to Empower Patients in Their Engagement With Personal Health Data
    Mensch und Computer 2023 (Rapperswil, September 3, 2023 - September 6, 2023)
    In: Workshopband 2023
    DOI: 10.18420/muc2023-mci-ws14-117
    BibTeX: Download
  • Altmannshofer S., Flaucher M., Beierlein M., Eskofier B., Beckmann M., Fasching P., Hübner H.:
    A content-based review of mobile health applications for breast cancer prevention and education: Characteristics, quality and functionality analysis
    In: Digital Health 10 (2024)
    ISSN: 2055-2076
    DOI: 10.1177/20552076241234627
    BibTeX: Download

Friedrich-Alexander-Universität Erlangen-Nürnberg
Lehrstuhl für Mustererkennung (Informatik 5)

Martensstr. 3
91058 Erlangen
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