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ProfessorKatrine Hass Rubin
 
 Odense University Hospital and University of Southern Denmark (Research unit OPEN) | Area(s) of research / Field of interestMain area of research is osteoporosis and bone fractures, with a focus on optimizing their identification and prevention. Katrine leads the CHOICE project and is the principal investigator of the NordForsk-funded grant. Her work centers on developing automated, data-driven prediction models using national health registry data, with a particular focus on implementation in clinical practice.
 Background / ExperienceWith a background in Physiotherapy (1999) and a PhD in Epidemiology (2013), she has published over 100 peer-reviewed papers. She serves on the board of the Danish Bone Society and is a member of the Committee of Scientific Advisors at the International Osteoporosis Foundation.
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| Professor, consultantBo Abrahamsen
 
 Holbæk Hospital and University of Southern Denmark | Area(s) of research / Field of interestBone clinician whose area of research is fracture and lifecourse epidemiology, risk prediction algorithms, and the safety and effectiveness of osteoporosis treatments. He leads the national NOCTE initiative, which combines DXA, hospital, prescription, and biochemical data to model BMD trajectories and fracture risk. His work supports individual and societal data-driven strategies for improving osteoporosis diagnosis and care.
 Background / ExperienceBo is a Consultant Endocrinologist (DK and UK accredited) at Holbæk Hospital and Professor of Clinical Database Research at the University of Southern Denmark. He trained in medicine in Odense, Denmark, with additional research experience from the UK and the US. He held a visiting professorship at the University of Oxford and served as President of the European Calcified Tissue Society (2020–2023).
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| MD/PhD/Professor, GP, Clin.PharmJens Søndergaard
 
 Research Unit of General Practice, University of Southern Denmark | Area(s) of research / Field of interestOsteoporosis, risks, use of data for early detection of disease, primary care.
 Background / ExperienceI have over 25 years of research experience and have authored numerous publications in various fields, the majority of which are relevant to primary health care.
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| ProfessorUffe Kock Wiil
 
 SDU Health Informatics and Technology, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark  | Area(s) of research / Field of interestData-driven health technology including  intelligent monitoring and decision support; predictive models for prevention, early detection, diagnosis, treatment and prognosis; digital health systems offering novel personalized data collection, treatment plans and interventions.
 Background / ExperienceImplementation of clinical decision support systems with a holistic approach including user involvement (co-design as overall approach), AI (develop models), software engineering (develop decision support based on models), health informatics (integration with health IT systems).
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| PhDJan Christian Brønd
 
 OUH/Open | Area(s) of research / Field of interestSpecialized in the development and implementation of machine learning methods within the healthcare domain, with a particular focus on creating optimal solutions through the effective use of clinical, registry, and sensor data.
 Background / ExperienceStrong experience in developing software for health application in the industry and data science within academic research.
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|  Associate ProfessorPernille Ravn Jakobsen
 
 Odense University Hospital & University of Southern Denmark (Research Unit OPEN) |   Area(s) of research / Field of interestMy research focuses on the design, development, and testing of data-driven health technologies that strengthen self-management in patients with osteoporosis and help reduce fracture risk. I work with participatory design, combining qualitative and quantitative methods to identify user needs and involving patients, healthcare professionals, and stakeholders in iterative processes that create solutions ready for implementation in healthcare systems.
 Background / ExperienceI am a physiotherapist with a Master of Science in Public Health and a PhD. In my PhD, I developed and tested an app for patients with osteoporosis as an entrepreneur. The app was later implemented in Danish clinical guidelines and has since been downloaded by more than 30,000 patients. Today, I am back in research, driven by the same motivation: creating change for patients with osteoporosis by optimizing prediction and prevention.
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| Postdoc / NurseAnne Wettergren Karlsson
 
 Center for Research With Patients and Relatives, OPEN  | Area(s) of research / Field of interestI work with patient and public involvement in research, and my field of interest is on how we establish ongoing and meaningful collaborations between users and researchers. My role in CHOICE is to plan our different collaborations with public contributors and carry out workshops exploring user perspectives and needs in osteoporosis management.
 Background / ExperienceI am a nurse, and have experience from neurology and palliation. In my previous research, I have explored user perspectives on health data usage for research and investigated how patient and public involvment practices are experienced in Denmark. I also council other researchers on meaningfull involvement practices.
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| PostdocJens-Jakob Møller
 
 Postdoc at Research Unit OPEN  
 | Area(s) of research / Field of interestI am interested in epidemiology and methodology. I strive to learn more and wish to develop my skills constantly. My main interest is registry studies with the abilities of large cohorts, comprehensive data and full follow-up.
 Background / ExperienceMy background is in physiotherapy. After my register-based PhD, I have been a consultant for other researchers in the area of epidemiology and register-based studies.
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| PhDLine M. Nanque
 
 OPEN, Odense University Hospital, Region of Southern Denmark | Area(s) of research / Field of interestI am interested in how data can be used to promote health and prevent diseases. My role in CHOICE is to coordinate the project activities across Denmark, Sweden and Norway. Furthermore, I will support the harmonization of registry data and development of a common data model, which can build the foundation for evaluation of the predictive capabilities of FREM_ML in the Nordic countries.
 Background / ExperienceI hold a PhD in vaccine epidemiology in Guinea-Bissau, West Africa. In this research, I investigated the non-specific effects of polio vaccines on general child health.
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| Ph.d. student, MScPHEmilie R. Christensen
 
 Research Unit OPEN, Odense University Hospital, Region of Southern Denmark and Department of Clinical Research, University of Southern Denmark | Area(s) of research / Field of interestMain field of interest is implementation of digital health technologies in healthcare settings. Emilie’s work centers on the feasibility of implementing prediction models in primary healthcare, with a focus on both technical validation and exploring how these technologies fit into general practice from healthcare professionals’ and patients’ perspectives.
 Background / ExperienceEmilie has a background in medical laboratory science (2018) and a MSc in public health (2021), and is currently working as a Ph.D. student. She has been working with osteoporosis and fracture risk prediction models since 2022.
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