Prediction of Alzheimer's disease using an AI driven screening platform: interim results on feasibility, usability and acceptability of home‐based assessments in the PREDICTOM study

The PREDICTOM study will offer pioneering insights into at-home AD diagnostic measures, with initial results providing preliminary evidence of feasibility, usability and acceptability. At AAIC, a full readout of the data from the first N»1000 participants from PREDICTOM will be presented. Acknowledgment This Project Is Supported By The Innovative Health Initiative Joint Undertaking (IHIJU) Under Grant Agreement No101132356. The JU Receives Support From The European Union's Horizon Europe Research And Innovation Programme. This Work Was Funded By UK Research And Innovation (UKRI) Under The UK Government's Horizon Europe Funding Guarantee [UKRI Reference Number:10083181]. In Switzerland The University Of Geneva Is Funded For PREDICTOM By The Swiss State Secretariat For Education Research And Innovation (SERI- Ref-1131 52304).

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70858_101010
Primary Topic
Dementia and Cognitive Impairment Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Prediction of Alzheimer's disease using an AI driven screening platform: interim results on feasibility, usability and acceptability of home‐based assessments in the PREDICTOM study

Johanna Gracia Mitterreiter, Martin Pszeida, Nicholas Ashton, Dianne Gove et al.
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

Prediction of Alzheimer's disease using an AI driven screening platform: interim results on feasibility, usability and acceptability of home‐based assessments in the PREDICTOM study

Johanna Gracia Mitterreiter, Martin Pszeida, Nicholas Ashton, Dianne Gove, Martha Therese Gjestsen, Sarah Campill, Anna‐Katharine Brem, Ingelin Testad, S. Brandt, Ellie Pickering, Anne Corbett, Zunera Khan, Bin Huang, Richard Layton, Spiros Nikolopoulos, PREDICTOM, Dag Aarsland
article en

Abstract

The PREDICTOM study will offer pioneering insights into at-home AD diagnostic measures, with initial results providing preliminary evidence of feasibility, usability and acceptability. At AAIC, a full readout of the data from the first N»1000 participants from PREDICTOM will be presented. Acknowledgment This Project Is Supported By The Innovative Health Initiative Joint Undertaking (IHIJU) Under Grant Agreement No101132356. The JU Receives Support From The European Union's Horizon Europe Research And Innovation Programme. This Work Was Funded By UK Research And Innovation (UKRI) Under The UK Government's Horizon Europe Funding Guarantee [UKRI Reference Number:10083181]. In Switzerland The University Of Geneva Is Funded For PREDICTOM By The Swiss State Secretariat For Education Research And Innovation (SERI- Ref-1131 52304).

Alzheimer s & DementiaVol. 21(S4)
Joanneum Research (AT), University of Arizona (US), King's College London (GB), University of Exeter (GB), Stavanger University Hospital (NO), Centre for Research and Technology Hellas (GR), Computer Aids for Chemical Engineering (US), Banner Sun Health Research Institute (US), Siemens Healthineers (Germany) (DE), GN Store Nord (Denmark) (DK), Ipswich Hospital (GB), Alzheimer Europe (LU)
Government of the United Kingdom, UK Research and Innovation, European Commission, Université de Genève, HORIZON EUROPE Framework Programme
Openalex Percentile: Top 34%
Dementia and Cognitive Impairment Research
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