Session 4: Trust | Building clinician, patient and public confidence in AI-driven care

Sabine Goldhahn is a medical doctor by training, who is fully dedicated to clinical research. She spent more than two decades in global clinical research where she planned, performed, and analyzed clinical trials. In her role as the medical director of a Swiss medtech startup she was managing the regulatory and operational challenges of clinical trials for market access. Currently, she is the programme manager of the MAS in Digital Clinical Research at ETH Zurich. In her additional role as communicator and science journalist, Dr Sabine Goldhahn makes research findings accessible to the public.

Jasmin Barman-Aksözen is a scientist and a patient with the ultra-rare inborn error of metabolism erythropoietic protoporphyria (EPP). She is part of the University Research Priority Program “ITINERARE – Innovative Therapies in Rare Diseases” at the University of Zurich. She also serves on the Scientific Advisory Board of ProRaris and International Porphyria Patient Network (IPPN). 

She studied molecular biology and biochemistry at the University of Heidelberg and obtained her PhD and Venia Legendi from the University of Zurich. During her PhD, she helped to develop the first drug for her own disease which is meanwhile approved in the EU, USA and Australia. 

Her research topics cover basic science, diagnostics and drug development in EPP and related diseases (the porphyrias), as well as ethical, legal, social and health economics aspects of regulatory assessment and benefit evaluation of drugs for very rare disease (orphan drugs). 

Jean Louis Raisaro is Head of the Clinical Data Science Group at CHUV’s Biomedical Data Science Center and Tenure-Track Assistant Professor at Vaud University Hospital (CHUV) and the University of Lausanne (UNIL). He holds a PhD from EPFL and degrees in Biomedical Informatics and Bioengineering from the University of Pavia. His research focuses on safe, privacy-preserving AI/ML in healthcare, with contributions in federated analytics, secure cloud computing, anonymized data generation, and semantic interoperability. His work supports clinical decision-making and hospital optimization, and has been adopted by the Swiss Personalized Health Network. He has published in leading journals including Nature Communications, Nature Computational Science, JAMIA, and JMIR.