Laura Bergomi is a PhD student in Bioengineering, Bioinformatics and Health Technologies in the Department of Electrical, Computer and Biomedical Engineering at the University of Pavia, affiliated with the Bio-Medical Informatics Laboratory “Mario Stefanelli” (BMI Lab). Her research lies at the intersection of explainability and natural language processing applied to the biomedical domain, with a specific focus on supporting clinical decision-making. During her PhD, Laura spent six months as a visiting scholar at the University of Minnesota, under the supervision of Prof. Martin Michalowski, exploring the automated assessment of clinical usefulness of AI-generated textual explanations. She is currently completing her PhD and plans to continue as a postdoctoral researcher, focusing on AI-driven methods to support adherence checking of patients’ pharmacological therapies against clinical practice guidelines.

Marc Carrier (MD, MSc, FRCPC) is Head of the Division of Hematology at The Ottawa Hospital, a Professor in the Faculty of Medicine, Department of Medicine and Senior Scientist in the Clinical Epidemiology Program of The Ottawa Hospital Research Institute. He holds a Tier 1 Research Chair in Venous Thromboembolism and Cancer from the Faculty of Medicine at the University of Ottawa. His role in the MET group is to provide expertise with regards to the clinical aspects related to mitigating adverse interactions for multimorbid patients and to help in development of different models describing patients’ compliance to therapy.

Martin Michalowski (PhD, FAMIA, FIAHSI) is a School of Nursing Foundation Research Professor, a Co-Director of the Center for Nursing Informatics, and a Co-Leader of the Digital Health Lab at the University of Minnesota. He is also a co-leader of the Mobile Emergency Triage (MET) Research Group, an international research collaboration, and serves as Co-Director of the Nursing and Artificial Intelligence Leadership Collaborative. His research portfolio includes novel contributions to information integration, record linkage, heuristic-based planning, constraint satisfaction problems, explainable AI, and large language models, as well as the application of these methods in nursing informatics research. His interdisciplinary research brings advanced AI methods and models to clinical decision support at the point of care and to personalized medicine.

Dr. Michalowski earned his Ph.D. in Computer Science from the University of Southern California, where he developed solutions to automated reasoning problems using AI. He was elected Senior Member of the Association for the Advancement of Artificial Intelligence (AAAI) in 2018, named a Fellow of the American Medical Informatics Association (FAMIA) in 2020, and elected to the Academy of Fellows of the International Academy of Health Sciences Informatics (IAHSI) in 2024. He has authored or co-authored more than 120 peer-reviewed journal articles, conference papers, and book chapters on AI in healthcare and nursing informatics, and he has edited nine books in the field. He currently serves on the editorial boards of ACM AI Letters and the Journal of Biomedical Informatics. Dr. Michalowski co-chairs the International Workshop on Health Intelligence (W3PHIAI), held annually at the AAAI conference, and the Workshop on Artificial Intelligence in Nursing (AINurse). He served as General Chair and Co-chair of the 2020 International Conference on Artificial Intelligence in Medicine (AIME 2020), as Co-chair of AIME 2022, and now serves as Co-President of the AIME Society. His research has received funding from the NIH, NSF, DARPA, DoD, the European Union, and various private foundations. His work has resulted in two U.S. patents, the founding of various startups, and best paper awards at several top-tier health informatics and AI conferences.

Wojtek Michalowski is Professor Emeritus at the University of Ottawa where he was Full Professor of Health Informatics and Decision Support. He also served as Vice-dean (Research) and Interim Dean at the Telfer School of Management, University of Ottawa, Wojtek is Adjunct Research Professor at the Sprott School of Business, Carleton University and Affiliated Researcher at the Montfort Hospital Research Institute. He authored or co-authored over 160 refereed publications and gave numerous invited talks. Wojtek's research interests are in clinical decision support systems, computer-interpretable clinical practice guidelines for multi-morbid patients, and use of predictive modelling to support patient management.

Szymon Wilk is an Associate Professor in the Division of Intelligent Decision Support Systems at the Poznan University of Technology. His research interests include design and implementation of decision support systems, data analysis and knowledge discovery based on rough set theory and decision support. Szymon has been involved in the MET research program since 1998. He implemented the first generation of the MET environment, worked on the design of MET2, and led development of the MET3 architecture. He is currently involved in developing computer-based models for reconciling clinical practice guidelines for a co-morbid situation.