Prediction of Alzheimer's disease using an AI driven screening platform: interim results of the PREDICTOM study

The PREDICTOM study will provide unique insights into diagnostic accuracy of at-home measures for the early diagnosis of AD with initial results providing insights in their potential to differentiate between risk stages, specifically between the high and low risk stages. 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 No 101132356. 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/alz70856_103775
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 of the PREDICTOM study

Johanna Gracia Mitterreiter, Martin Pszeida, Paulina Tegethoff, Sara De Witte et al.
Alzheimer s & Dementia
Dementia and Cognitive Impairment Research
article

Prediction of Alzheimer's disease using an AI driven screening platform: interim results of the PREDICTOM study

Johanna Gracia Mitterreiter, Martin Pszeida, Paulina Tegethoff, Sara De Witte, Laura Ferré‐González, Federica Cacciamani, Martha Therese Gjestsen, Sarah Campill, Augusto Mendes, Anna‐Katharine Brem, S. Brandt, Ellie Pickering, Ana Bea Solana Sanchez, Zunera Khan, Richard Layton, Spiros Nikolopoulos, Jonas Botz, Anne Corbett, Bin Huang, Nicholas J. Ashton, Dag Aarsland
article en

Abstract

The PREDICTOM study will provide unique insights into diagnostic accuracy of at-home measures for the early diagnosis of AD with initial results providing insights in their potential to differentiate between risk stages, specifically between the high and low risk stages. 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 No 101132356. 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(S2)
University of Geneva (CH), University of Bern (CH), Joanneum Research (AT), University of Arizona (US), King's College London (GB), University of Exeter (GB), Stavanger University Hospital (NO), University Hospital of Bern (CH), LMU Klinikum (DE), Fraunhofer Institute for Algorithms and Scientific Computing (DE), Altair Engineering (France) (FR), University Hospital of Geneva (CH), Universität Bayern (DE), Leitat Technological Center (ES), Universitair Ziekenhuis Brussel (BE), 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), Geneva College (US), Alzheimer Europe (LU), Ludwig-Maximilians-Universität München (DE)
Government of the United Kingdom, UK Research and Innovation, European Commission, Université de Genève, HORIZON EUROPE Framework Programme
Openalex Percentile: Top 32%
Dementia and Cognitive Impairment Research
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