What if Alzheimer's disease could be detected years before memory problems begin?
Through cutting-edge research, large-scale clinical studies and collaboration across academia, healthcare, industry and patient organisations, PREDICTOM is developing new ways to identify people at risk earlier and more accurately than ever before.
To bring this work closer to patients, healthcare professionals, researchers, policymakers and the wider public, PREDICTOM has created a dedicated video series: "Predicting Dementia Before It Starts."
About the series
Across nine short episodes, leading experts from the PREDICTOM consortium explain the science, technology and collaboration behind the project in an accessible and engaging way.
The series explores how biomarkers, brain imaging, artificial intelligence, digital technologies and patient involvement are helping researchers move towards a future where dementia can be detected earlier, interventions can begin sooner, and care can become more personalised.
Through expert interviews and real-world examples, the videos highlight not only the scientific innovation behind PREDICTOM, but also the people working together to make earlier dementia detection a reality.
Who is this series for?
The series is designed for:
Patients and carers
Healthcare professionals
Researchers and innovators
Policymakers and healthcare decision-makers
Industry stakeholders
Anyone interested in the future of dementia research and care
What will you learn?
Throughout the series, you will discover:
Why early diagnosis matters for people affected by dementia
How biological and digital biomarkers can reveal the earliest signs of disease
How advanced MRI technologies help identify changes in the brain before symptoms appear
How artificial intelligence can combine complex data into meaningful predictions
How PREDICTOM's large-scale European clinical study is bringing innovation closer to routine healthcare
Why patient and public involvement is essential for impactful and trustworthy research
How international collaboration helps translate research into real-world impact
Featuring experts from across Europe
The series features researchers, clinicians, technology developers, patient representatives and project leaders from:
Stavanger University Hospital
King's College London
CERTH (Centre for Research & Technology Hellas)
Siemens Healthineers
GE HealthCare
Fraunhofer
Alzheimer Europe
Novo Nordisk
Lygature
Episode 1 – Why Early Diagnosis Matters
Featuring: Dag Aarsland (Stavanger University Hospital & King's College London) and Peter Johannsen (Novo Nordisk)
Why are we still diagnosing Alzheimer's disease so late? This opening episode explores the human impact of late diagnosis and how earlier detection could create valuable time for patients, families and healthcare professionals.
Episode 2 – Biofluid Biomarkers: Can Alzheimer's Be Detected with a Simple Sample?
Featuring: Gaby Marquardt, Johanna Mitterreiter and Verena Pikulski (Siemens Healthineers)
How can blood and saliva samples reveal the earliest biological signs of disease? This episode explores how biofluid biomarkers may help make dementia screening more accessible, scalable and accurate.
Episode 3 – Digital Biomarkers: Detecting Alzheimer's in Everyday Life
Featuring: Spiros Nikolopoulos, Margarita Grammatikopoulou and Ioulietta Lazarou (CERTH)
Can everyday interactions with technology reveal subtle signs of cognitive decline? Discover how smartphones, apps and digital tools may support earlier detection outside traditional clinical settings.
Episode 4 – From the Lab to the Living Room: Bringing Early Detection into Everyday Life
Featuring: Dag Aarsland (Stavanger University Hospital & King's College London), Gabrielle Nieuwoudt and Zunera Khan (King's College London)
Discover how PREDICTOM's large-scale clinical study is bringing early detection closer to people's homes, primary care settings and daily lives.
Episode 5 – The Power of AI: Turning Data into Insight
Featuring: Holger Fröhlich and Jonas Radermacher (Fraunhofer), Ankit Gupta (Siemens Healthineers) and Kostas Georgiadis (CERTH)
How can artificial intelligence transform complex health data into meaningful predictions? This episode explores how trustworthy and explainable AI supports dementia prediction.
Episode 6 – Using Advanced Brain Scans to Predict Cognitive Decline Early On
Featuring: Ashwin Venkataraman (King's College London) and Ana Beatriz Solana (GE HealthCare & King's College London)
Learn how advanced MRI technologies can reveal changes in the brain long before symptoms emerge and support diagnosis, prognosis and monitoring throughout the patient journey.
Episodes