Madeleine Flaucher | MaD Lab

Madeleine Flaucher, M. Sc.

Researcher & PhD Candidate

Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik

Room 01.019
Carl-Thiersch-Straße 2b
91052 Erlangen

Phone number: +49 9131 85-20286
Email: madeleine.flaucher@fau.de

Academic CV

Since 04/2021	Researcher and Ph.D. candidate Machine Learning and Data Analytics Lab Department Artificial Intelligence in Biomedical Engineering, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
10/2018 – 02/2021	M. Sc. in Medical Engineering Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) Master Thesis: “Smartphone-Based Colorimetric Analysis of Urine Dipsticks for At-Home Prenatal Care”
10/2014-09/2018	B. Sc. in Biomedical Engineering Ostbayerische Technische Hochschule Regensburg (OTH) Bachelor Thesis: “Zerebrale Aneurysmen: Entwicklung eines Werkzeugs zur Rekonstruktion der Ursprungsgeometrie und vergleichende CFD Berechnungen”

Publications

2024

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

2023

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, 3. September 2023 - 6. September 2023)
In: Workshopband 2023
DOI: 10.18420/muc2023-mci-ws14-117
BibTeX: Download
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
Nissen M., Barrios Campo N., Flaucher M., Jäger K., Titzmann A., Blunck D., Fasching P., Engelhardt V., Eskofier B., Leutheuser H.:
Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data
In: npj Digital Medicine 6 (2023), Article No.: 189
ISSN: 2398-6352
DOI: 10.1038/s41746-023-00935-3
BibTeX: Download

2022

Flaucher M., Nissen M., Jäger K., Titzmann A., Pontones C., Hübner H., Fasching P., Beckmann M., Gradl S., Eskofier B.:
Smartphone-Based Colorimetric Analysis of Urine Test Strips for At-Home Prenatal Care
In: IEEE Journal of Translational Engineering in Health and Medicine (2022), p. 1-9
ISSN: 2168-2372
DOI: 10.1109/JTEHM.2022.3179147
BibTeX: Download
Nissen M., Slim S., Jäger K., Flaucher M., Hübner H., Danzberger N., Fasching P., Beckmann M., Gradl S., Eskofier B.:
Heart Rate Measurement Accuracy of Fitbit Charge 4 and Samsung Galaxy Watch Active2: Device Evaluation Study
In: JMIR Formative Research 6 (2022), p. e33635
ISSN: 2561-326X
DOI: 10.2196/33635
BibTeX: Download

Research Projects

digiOnko: digionko-bayern.de

Teaching

Human-Computer-Interaction

Student Theses

Year	Name	Title
2022	Sabrina Berzins	Increasing Health Literacy through Patient-centered Knowledge Transfer within a Digital Health Application (Master’s Thesis)
2022	Florian Prümer	Motivational UI: Enhancing Adherence and Engagement of Heart Failure Patients within a Digital Health Application (Master’s Thesis)
2022	Jonas Gruber	Influence of Different Stimulus Intensities of Cold Air on Driver Drowsiness (Master’s Thesis, Co-Supervision)
2023	Nuria Barrios Campo	Retrospective Analysis of Self-reported Symptoms and Usage Data in a Digital Health Application (Master’s Thesis, Co-Supervision)
2023	Michael Brock	Refinement, Feasibility and Evaluation of an eHealth Application for Opioid Management in Palliative Care (Master’s Thesis, Co-Supervision)
2023	Ahmed Abdelhamid	Boosting the meaningfulness and interpretability of brain graph-theoretical data by interactive VR visualizations (Master’s Thesis, Co-Supervision)
2023	Julia Hafenbrak	Confidential (Bachelor’s Thesis, Co-Supervision)
2023	Juliane Ort	Enhancing User Engagement in a Breast Cancer Prevention App: User-Centered Design Features to Promote Preventive Behavior (Master’s Thesis)
2023	Caspar Siemssen	Development of a Mobile Application for Assessing Quality of Life in Breast Cancer Patients: Study on Usability and User Preferences (Bachelor’s Thesis)
2024	Moritz Kraus	Enhancing Recruitment Processes through AI-Powered chatbots: A Study on User Experience, Skill Validation, and Process Efficiency (Master’s Thesis)