The PREDICTOM project has published a series of seven interviews with different partners from the consortium, to explore various aspects of the project and find out how it is making an important contribution to Alzheimer’s research. You can read these interviews via the links below:
1. The first instalment of the series is an interview with Dag Aarsland, Professor of Old Age Psychiatry at King's College London and research lead at Stavanger University Hospital. He is the project’s academic lead and coordinates its clinical trial: https://www.predictom.eu/news/transforming-alzheimers-care-by-bringing-diagnosis-to-the-household-and-primary-care
2. Sarah Campill, Public Involvement Officer at Alzheimer Europe, discusses her contribution to PREDICTOM and the importance of involving members of the public in Alzheimer's research: https://www.predictom.eu/news/transforming-alzheimers-care-by-bringing-diagnosis-to-the-household-and-primary-care-1
3. Timo Schirmer, Director of the MR Applied Science Laboratory at GE HealthCare, speaks about his role in PREDICTOM as industry lead and reflects on the project's goals to improve early diagnosis of Alzheimer's disease: https://www.predictom.eu/news/unlocking-alzheimers-progress-advancing-diagnosis-and-treatment-through-interdisciplinary-expertise
4. Matthias Müllenborn, Senior Director Public-Private Partnerships at Novo Nordisk shares his vision of PREDICTOM's potential impact on research and treatment plans for Alzheimer's disease: https://www.predictom.eu/news/driving-innovations-for-early-diagnosis-of-alzheimers-disease
5. Spiros Nikolopoulos, Principal Researcher at Centre for Research and Technology Hellas (CERTH), elaborates on his work within PREDICTOM and the importance of finding biomarkers for early detection of Alzheimer's disease: https://www.predictom.eu/news/in-search-for-indicators-of-alzheimers-disease-to-detect-and-track-cognitive-decline
6. Holger Fröhlich, Head of AI & Data Science at Fraunhofer SCAI, explains his work on PREDICTOM and sheds light on the data models used in the project as well as the ambitions for wider use of PREDICTOM's data platform: https://www.predictom.eu/news/our-models-will-cover-the-entire-patients-journey-from-a-patient-at-home-up-to-a-visit-to-a-neurologist-in-a-memory-clinic
7. In the seventh and final interview of the series, Robin Verjans, Program Manager at Lygature, highlights the importance of effective project management in PREDICTOM: https://www.predictom.eu/news/ensuring-the-success-of-predictom-through-effective-partnership-management