Bianca Buchgraber-Schnalzer

Academic Career:
eHealth Master, FH JOANNEUM
eHealth Bachelor, FH JOANNEUM

Work Experience:
Since 07:2022 lecturer eHealth
01/2019 - 06/2022 eHealth researcher
Software developer, Technical University Graz
Software developer, Management Partners
Medical Technical Assistant, Graz Ragnitz Private Hospital

Education:
Education "Medical Technical Assistant", Graz
Higher Technical Collage „HTBLA Kaindorf an der Sulm"

Publications:
Hilberger, H., Buchgraber-Schnalzer, B., Huber, S., Weitlaner, T., Untersteiner, H., Seerainer, C., & Hanke, S. (2024). Enhancing Dementia Risk Mitigation: Standardized Digital Monitoring in Clinical Trials and Platform Design for At-Risk Elderly Individuals. In dHealth 2024 (pp. 9-14). IOS Press.

Buchgraber-Schnalzer B., & Neumayer, B. (2024). Aktuelle Anwendungsszenarien und -beispiele von KI-Systemen in Diagnostik und Therapie. In Klein (Ed.), Health Care und Künstliche Intelligenz (1st ed., pp. 154–175). utb.

Rosenberg, A., Untersteiner, H., Lehtisalo, J., Bruinsma, J., Crutzen, R., Fotiadis, D., Huber, S., Loukas, V., Pirani, M., Guazzarini, A. G., Thunborg, C., Colombo, M., Diaz, A., Hilberger, H., Kivipelto, M., Jyrki, L., Schnalzer, B., Hanke, S., Mangialasche, F., Mecocci, P., Stögmann, E., & Ngandu, T. (2023). Digitally supported lifestyle program to promote brain health among older adults (LETHE pilot trial) – Study design and progress. Alzheimer’s Association International Conference (AAIC).

Schnalzer, B., Huber, S., Sumerauer, I., Preininger, M., Alcalde, B., & Mischak, R. (2022). Evidence-Based Mobile Wound Application to Support Professionals in State-of-the-Art Chronic Wound Treatment. In dHealth 2022 (pp. 101-108). IOS Press.

Loukas, V. S., Kassiotis, T., Martinez, I. L., Koumakis, L., Bruinsma, J., Pasciuti, R., Balatresi, M., Tenhunen, V., Fiakkas, A., Ataliani, L., Karanasiou, G. S., Tsiknakis, M., Hilberger, H., Bödenler, M., Schnalzer, B., Huber, S., Pirani, M., Colombo, M., Hanke, S., & Fotiadis, D. I. (2022). LETHE: A Digital Intervention for Cognitive Decline. Fellow, IEEE.
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Huber, S., Schnalzer, B., Alcalde, B., Hanke, S., Mpaltadoros, L., Stavropoulos, T. G., ... & de Bruin, J. (2021). An Overview of Technology Availability to Support Remote Decentralized Clinical Trials. International Journal of Medical and Health Sciences, (9), 293-299.

Schnalzer, B., Huber, S., Grieshofer, P., Stögmann, E., & Hanke, S., Wearable and App-based behavioral health intervention targeting dementia onset and progression. Vortrag im Rahmen des Young Investigators Award der 33. Jahrestagung der Österreichischen Alzheimer Gesellschaft (ÖAG), Tulln am 23.10.2021

Wahed, S. A., Adam, H., Kuch, J., Palzer, V., Schnalzer, B., & Hanke, S. (2020, September). QUALY: A Money Management Application for People with Cognitive Impairments. In European Conference on Games Based Learning (pp. 655-XII). Academic Conferences International Limited.

Mischak, R., Schnalzer, B., Alcalde, B., & de Bruin, J. (2020). KI-gestütztes Wundmanagement. In mHealth-Anwendungen für chronisch Kranke (pp. 87-105). Springer Gabler, Wiesbaden.

Schnalzer, B., & Alcalde, B. (2019). Skin Lesion Detection with Support Vector Machines on iOS Devices. In MEDINFO 2019: Health and Wellbeing e-Networks for All (pp. 1417-1418). IOS Press.

Schnalzer, B., & Alcalde, B. (2019, May). Skin lesion boundary detection with neural networks on iOS devices. In Proceedings of the third International Conference on Medical and Health Informatics 2019 (pp. 161-166).

Mischak R., Rehb R., Reiter C., Schnalzer B., de Bruin J. 2019. Muttermale und TicTacToe – Ein Schülerworkshop über Digitalisierung und Künstliche Intelligenz. Vortrag im Rahmen des DMEA-Satelittenworkshops „Wissensbasierte Lösungen für die digitale Medizin“, Berlin am 8.4.2019

Schnalzer, B.; Masterarbeit “Wound detection with neural networks on iOS mobile devices”, Austria, 2018.

Celik, N., Balachandran, W., Manivannan, N., Winter, E. M., Schnalzer, B., & Burgsteiner, H. (2017, October). Wearable mobile ear-based ECG monitoring device using graphene-coated sensors. In 2017 IEEE SENSORS (pp. 1-3). IEEE.

Schnalzer, B.; Bachelorarbeit “Prototypentwicklung einer Cordova-Applikation zur Anbindung von medizinischen Geräten an ein Krankenhausinformationssystem”, Austria, 2016.

Schnalzer, B.; Bachelorarbeit “Vergleich von State-of-the-Art-Methoden zur automatischen Detektion und Klassifikation von EKG-Anomalien und Modell-Entwurf eines Frameworks zur Real-Time-Klassifikation”, Austria, 2016.