286095 20260413131657.0 10.1016/j.tjpad.2026.100545 doi 2274-5807 ISSN 2426-0266 ISSN DZNE-2026-00391 English 610 Brem, Anna-Katharine 0000-0003-0295-6834 0 Screening for Alzheimer’s disease in the community using an AI-driven screening platform: design of the PREDICTOM study [Paris] 2026 Elsevier Masson SAS article DRIVER Output Types/Journal article DataCite Journal Article journal journal PUB:(DE-HGF)16 1776078888_32198 PUB:(DE-HGF) ARTICLE BibTeX JOURNAL_ARTICLE ORCID Journal Article 0 EndNote Recent developments in physiological, imaging and digital biomarkers combined with the approval of new disease-modifying drugs against Alzheimer's disease (AD) and diagnostic blood tests provide an opportunity to shift the first diagnostic steps to the home-setting. While these novel biomarkers enable scalable screening and earlier detection and treatment of AD, they require an evaluation of their accuracy, feasibility, and safety in primary care and the community setting.The aim of PREDICTOM is to develop and test the accuracy of an artificial intelligence (AI) driven screening platform for the risk assessment and early detection of AD to extend the clinical pathway to home-based screening using established and novel biomarkers.PREDICTOM is a European (Norway, UK, Belgium, France, Switzerland, Germany, Spain) observational, prospective cohort study using a cloud-based platform that stores a digitalised journey for each participant and provides a collection of artificial-intelligence (AI) algorithms and tools for risk assessment and early diagnosis and prognosis.Cohort 1 consists of 4000 adults aged 50 years or older at risk of developing AD. Cohort 2 consists of 615 participants selected from Cohort 1 based on estimates indicating high (N = 415) or low (N = 200) risk of AD. Data from existing cohorts will guide the analytic strategy of the study.Cohort 1 will undergo home-based assessments (Level 1), Cohort 2 will undergo in-clinic assessments (Levels 2 and 3). Level 1 includes at-home screening, collecting digital and physiological data (questionnaires, cognition, hearing, eye-tracking) and biofluids (capillary blood via finger-stick and saliva) for biomarker analysis. Level 2 comprises a more complex biomarker collection, most of which can be completed in primary care, including EEG, MRI, venous blood, microbiome from stool, cognition, hearing, and eye-tracking. Level 3 includes a diagnostic evaluation to confirm or rule out AD pathology using established biomarkers (cerebrospinal fluid, or amyloid PET).PREDICTOM will develop AI-driven algorithms for the early detection of AD using biomarkers that can be collected at home or in the community care setting, and evaluate their integration into a well-defined and comprehensive clinical pathway. 353 - Clinical and Health Care Research (POF4-353) G:(DE-HGF)POF4-353 POF4-353 POF IV 0 Dataset connected to CrossRef, Journals: pub.dzne.de Alzheimer’s disease Other Artificial intelligence Other Biomarker Other Early detection Other Khan, Zunera 1 Radermacher, Jonas 2 Georgiadis, Kostas 0000-0001-9116-4729 3 Lazarou, Ioulietta 4 Grammatikopoulou, Margarita 0000-0003-1064-9439 5 Pickering, Ellie 0009-0004-9428-2164 6 Mitterreiter, Johanna 7 Aakre, Jon Arild 0000-0001-8459-6240 8 Ashton, Nicholas J. 9 Baquero, Miguel 10 Beser-Robles, Maria 0000-0002-0072-5525 11 Braboszcz, Claire 0000-0001-9572-6653 12 Brandt, Sigurd 13 Brown, James 14 Cacciamani, Federica 0000-0003-2220-0567 15 Campill, Sarah 0000-0002-0269-8751 16 Collins, Christopher 0000-0003-2850-1950 17 Deshpande, Pushkar 18 Diaz, Ana 19 Durrleman, Stanley 0000-0002-9450-6920 20 Engelborghs, Sebastiaan 21 Ferré-González, Laura 22 Frisoni, Giovani B. P:(DE-2719)9001538 23 Gjestsen, Martha Therese 0000-0002-8762-3109 24 Gove, Dianne 25 Honigberg, Lee 0000-0003-0996-1062 26 Huang, Bin 27 Hudak, Anett 0009-0009-6294-5345 28 Kaushik, Sandeep 29 Letoha, Tamas 0000-0002-6035-4009 30 Marquardt, Gaby 31 Mendes, Augusto J. 0000-0002-9497-0707 32 Müllenborn, Matthias 0000-0003-3947-4695 33 Paletta, Lucas 0000-0001-5819-2429 34 de Barros, Nuno Pedrosa 35 Pszeida, Martin 36 Vik-Mo, Audun Osland 0000-0002-5162-3035 37 Rostamipour, Hossein 38 Perneczky, Robert P:(DE-2719)2812234 39 dzne Rauchmann, Boris Stephan P:(DE-2719)9001808 40 dzne Russegger, Silvia 41 Schirmer, Timo 42 Shadmaan, Amied 43 Solana, Ana Beatriz 44 Soria-Frisch, Aureli 0000-0002-4704-927X 45 Tegethoff, Paulina 0000-0002-4701-4309 46 Ribbens, Annemie 47 De Witte, Sara 48 van der Giezen, Mark 0000-0002-1033-1335 49 Nikolopoulos, Spiros 0000-0002-1367-5133 50 Corbett, Anne 0000-0003-2015-0316 51 Fröhlich, Holger 52 Aarsland, Dag 53 10.1016/j.tjpad.2026.100545 Vol. 13, no. 5, p. 100545 - PERI:(DE-600)2782183-3 5 100545 The journal of prevention of Alzheimer's disease 13 2026 2274-5807 http://pub.dzne.de/record/286095/files/DZNE-2026-00391.pdf Restricted http://pub.dzne.de/record/286095/files/DZNE-2026-00391.pdf?subformat=pdfa pdfa Restricted Deutsches Zentrum für Neurodegenerative Erkrankungen I:(DE-588)1065079516 DZNE 39 P:(DE-2719)2812234 External Institute I:(DE-HGF)0 Extern 40 P:(DE-2719)9001808 DE-HGF Gesundheit Neurodegenerative Diseases G:(DE-HGF)POF4-350 G:(DE-HGF)POF4-353 G:(DE-HGF)POF4 G:(DE-HGF)POF4-300 G:(DE-HGF)POF Clinical and Health Care Research 0 DEAL Springer StatID:(DE-HGF)3002 StatID 2025-11-11 ger DEAL Springer StatID:(DE-HGF)3002 StatID 2025-11-11 ger JCR StatID:(DE-HGF)0100 StatID JPAD-J PREV ALZHEIM : 2022 2025-11-11 DBCoverage StatID:(DE-HGF)0200 StatID SCOPUS 2025-11-11 DBCoverage StatID:(DE-HGF)0300 StatID Medline 2025-11-11 DBCoverage StatID:(DE-HGF)0320 StatID PubMed Central 2025-11-11 DBCoverage StatID:(DE-HGF)0199 StatID Clarivate Analytics Master Journal List 2025-11-11 DBCoverage StatID:(DE-HGF)1110 StatID Current Contents - Clinical Medicine 2025-11-11 DBCoverage StatID:(DE-HGF)0160 StatID Essential Science Indicators 2025-11-11 WoS StatID:(DE-HGF)0113 StatID Science Citation Index Expanded 2025-11-11 DBCoverage StatID:(DE-HGF)0150 StatID Web of Science Core Collection 2025-11-11 DBCoverage StatID:(DE-HGF)0501 StatID DOAJ Seal 2025-05-28T09:11:42Z DBCoverage StatID:(DE-HGF)0500 StatID DOAJ 2025-05-28T09:11:42Z Peer Review StatID:(DE-HGF)0030 StatID DOAJ : Anonymous peer review 2025-05-28T09:11:42Z IF >= 5 StatID:(DE-HGF)9905 StatID JPAD-J PREV ALZHEIM : 2022 2025-11-11 Article Processing Charges StatID:(DE-HGF)0561 StatID 2025-11-11 Fees StatID:(DE-HGF)0700 StatID 2025-11-11 I:(DE-2719)5000022 AG Dichgans Vascular Cognitive Impairment & Post-Stroke Dementia 0 journal EDITORS VDBINPRINT I:(DE-2719)5000022 UNRESTRICTED