Dr. Samuel Wehrli

Projects

• Deep Learning-Based Real-Time EEG Monitoring for Clinical Interventions / Project leader / ongoing
• Digital Health Zurich: a practice lab for patient-centred clinical innovation / Team member / ongoing
• Predictive chance modelling: Exploration of a new approach to professional decision-making in child protection / Team member / completed
• Machine learning and algorithms in social work / Team member / completed

Publications

Articles in scientific journal, peer-reviewed

• Amacker, J. et al. (2026) 'Shared local brain dynamics in pediatric and adult NREM parasomnias', Sleep. doi: 10.1093/sleep/zsag123.
• Stoll, D. et al. (2025) 'Case reports unlocked : leveraging retrieval-augmented generation with large language models to advance research on psychological child maltreatment', Child Abuse & Neglect, 169(107653). doi: 10.1016/j.chiabu.2025.107653.
• Kirchberger, J. et al. (2025) 'An explorative study on movement detection using wearable sensors in acute care hospital patients', Scientific Reports, 15(1), p. 19941. doi: 10.1038/s41598-025-04340-6.
• Stoll, D., Wehrli, S. and Lätsch, D. (2024) 'Case reports unlocked : harnessing large language models to advance research on child maltreatment', Child Abuse & Neglect, 160(107202). doi: 10.1016/j.chiabu.2024.107202.
• Reichl, J. J. et al. (2024) 'Pilot study for the development of an automatically generated and wearable-based early warning system for the detection of deterioration of hospitalized patients of an acute care hospital', Archives of Public Health, 82(1), p. 179. doi: 10.1186/s13690-024-01409-y.
• Wehrli, S. et al. (2021) 'Bias, awareness, and ignorance in deep-learning-based face recognition', AI and Ethics, 2(3), pp. 509–522. doi: 10.1007/s43681-021-00108-6.

Written conference contributions, peer-reviewed

• Brunschwiler, M. et al. (2025) 'Enhancing information extraction for simulation modelling using large language models', in Rank, S., Kühn, M., and Schmidt, T. (eds) Simulation in Produktion und Logistik 2025. Dresden: Technische Universität Dresden, pp. 49–1–49–10. doi: 10.25368/2025.282.
• Stoll, D. et al. (2025) 'Case reports unlocked : leveraging retrieval-augmented generation with large language models to advance research on child psychological maltreatment', in 18th International Conference of the European Scientific Association on Residential & Family Care for Children and Adolescents (EuSARF), Zagreb, Croatia, 8-12 September 2025.

Other publications

• Biberstein, L., Girschik, K. and Wehrli, S. (2024) Twitter-Analysen der Polizei : Erkenntnisse für die Soziale Arbeit. Zürich: ZHAW Zürcher Hochschule für Angewandte Wissenschaften. doi: 10.21256/zhaw-29968.
• Truninger, D. et al. (2022) 'Digital pens for measuring fine motor skills in school-aged children with and without ADHD', in 4. Digital Health Lab Day, Winterthur, Schweiz, 12. September 2022. ZHAW Zürcher Hochschule für Angewandte Wissenschaften. doi: 10.21256/zhaw-25701.

Oral conference contributions and abstracts

• Stoll, D. et al. (2025) 'Case reports unlocked : applying RAG-prompting methods and large language models to advance research on child maltreatment', in ISPCAN Congress, Vilnius, Lithuania, 5-9 October 2025.
• Stoll, D., Lätsch, D. and Wehrli, S. (2024) 'Applying machine learning text classification methods and large language models for data collection of mentions of child maltreatment', in ISPCAN Congress, Uppsala, Sweden, 18-21 August 2024.

Patents and patent applications

• Wehrli, Samuel; Wieber, Frank; Rüffer, Daniel,

  2026.

  System and method for supporting focus of a person.

  Patent number WO2026027258 A1

  (2026-02-05)

  .

  Available from: https://worldwide.espacenet.com/patent/search?q=pn%3DWO2026027258A1

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