PREDICTOM

Prediction of Alzheimer’s Disease using an AI-driven screening platform
Project ID
Funding Organization:
Funding Programme:
HORIZON-JU-IHI-2022
Funding Instrument:
Resarch & Innovation Action
Start Date:
01/11/2023
Duration:
48 months
Total Budget:
18,103,112 EUR
ITI Budget:
446,250 EUR
Scientific Responsible:

Alzheimer’s disease (AD) and related disorders leading to dementia are associated with staggering costs and suffering. Recently, there has been some progress in the search for effective therapeutic interventions and it is clear that any treatment is likely to be most effective if administered at the earliest stage of disease, but the health care system is not ready for this new scenario. There is an urgent need, therefore, to establish scalable, cost-efficient diagnostic markers, tools and procedures that can identify people at increased risk, at point of care for stratification into personalized interventions to prevent or delay dementia. PREDICTOM will develop an open-source, interoperable and customisable biomarker screening platform, utilizing an existing online resource to save time and money, to generate an evidence base for general population screening for AD and related disorders. We will bring diagnostics closer to the patient by examining the feasibility of using samples which can be obtained at home (e.g. finger-prick blood, saliva (for genetics and epigenetics) and stool for microbiom) for diagnostic biomarker analysis. We will also evaluate innovative technologies for disease risk identification, including digital technologies and novel MRI, EEG, eye tracking, and blood-based biomarkers. The platform will use artificial intelligence models to analyse data from all biomarkers to identify users at high risk of developing dementia and to direct them to personalized intervention to prevent further cognitive decline and development of dementia. We will seek to facilitate a change in current healthcare practice for early diagnosis of AD through development of new clinical practice guidelines based on evidence generated in the project. By improving the ease of identification of those with early signs of dementia we expect to have a significant impact on personal and financial burden of dementia in Europe and across the world.

Consortium

Helse Stavanger HF (Stavanger University Hospital), Norway
Kings College London, United Kingdom
Foundation Lygature, Netherlands
Centre for Research and Technology Hellas, Greece
Fraunhofer Gesellschaft zur Förderung der Angewandten Forschung e.V., Germany
Joanneum Research Forschungsgesellschaft mbH., Austria
Qairnel QAI, France
Klinikum der Universität München, Germany
National Institute for Health and Care Excellence, United Kingdom
Alzheimer Europe, Luxemburg
Pharmacoidea Fejleszto es Szolgaltato KFT, Hungary
Novo Nordisk A/S, Denmark
GE HealthCare GmbH, Germany
GE Medical Systems SCS, France
GE HealthCare Magyarorszag KFT GEHCM, Hungary
Siemens Healthcare GmbH SHS, Germany
Siemens Healthcare Diagnostics In, United States
Siemens Healthcare Private Limited. India
Siemens Medical Solutions USA Inc, United States
The University of Exeter, United Kingdom
Icometrix nv, Belgium
Universitatsklinikum Erlangen, Germany
Vrije Universiteit Brussel, Brussels
Fundacion Para la Investigacion del Hospital Universitario La Fe de la Comunidad, Spain
ALZpath Inc, United States
GN Hearing AS, Denmark
Muhdo Health Ltd, United Kingdom
University of Geneva, Switzerland
Altoida AG, Switzerland
Braincheck, United States

Contact

Dr. Spiridon Nikolopoulos
(Scientific Responsible)
Building A - Office 0.7

Information Technologies Institute
Centre of Research & Technology - Hellas
6th km Harilaou - Thermis, 57001, Thermi - Thessaloniki
Tel.: +30 2311 257752
Fax: +30 2310 474128
Email: nikolopo@iti.gr

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