Dr. Radoslava Svihrová
Dr. Radoslava Svihrová
ZHAW
School of Life Sciences and Facility Management
Institute of Computational Life Sciences
Network
ORCID digital identifier
Social media
Projects
- Clinical AI reasoning for multimorbid patients: feasibility of calibrated differential diagnosis and treatment-plan evaluation / Team member / ongoing
- Harnessing digital twins for healthcare - Cerebrovascular Autoregulation in Critical Care / Team member / ongoing
Publications
Articles in scientific journal, peer-reviewed
Bechny, Michal, Radoslava Švihrová, and Felix Wortmann. 2026. "Explainable Artificial Intelligence : Building Trust in the Sleep Clinic." Sleep Medicine Clinics, September. https://doi.org/10.1016/j.jsmc.2026.08.002.
Other publications
Jovanova, Mia, Victoria Bruegger, Radoslava Svihrová, Magdalena Fuchs, Qiuhan Jin, Felix Wortmann, Michael Mitter, and Michal Bechny. 2026. "Digital Biomarkers for Insulin Resistance Screening in Daily Life." medRxiv. https://doi.org/10.64898/2026.05.20.26353669.
Other publications
- Švihrová, R., Dei Rossi, A., Marzorati, D., Tzovara, A., Faraci, F.D. (2025) Designing digital health interventions with causal inference and multi-armed bandits: a review. Frontiers in Digital Health (doi: 10.3389/fdgth.2025.1435917)
- Švihrová, R., Marzorati, D., Dei Rossi, A., Gerosa, T., Faraci, F.D. (2025) Data-driven causal discovery: Insights from a longitudinal study with wearable data. In Proceedings of the 23rd Conference on Artificial Intelligence in Medicine (AIME2025) (doi: 10.1007/978-3-031-95841-0_75)
- Švihrová, R., Marzorati, D., Bechný, M., Grossenbacher, M., Ilchenko, Y., Grossenbacher, J., Tzovara, A., Faraci, F.D. (2025) Toward burnout prevention with Bayesian mixed-effects regression analysis of longitudinal data from wearables: a preliminary study. Frontiers in Digital Health (doi: 10.3389/fdgth.2025.1640900)
- Švihrová, R., Lettner, C. (2020) A semi-supervised approach for network intrusion detection. In Proceedings of the 15th International Conference on Availability, Reliability and Security (ARES '20) (Article No. 93, pp. 1–6). ACM. https://doi.org/10.1145/3407023.3407073