Prediction of Alzheimer’s disease using an AI driven screening platform


Dementia affects growing numbers of people worldwide. There are now treatments designed to slow the progress of the disease, however these are likely to be most effective when given in the very earliest stages of the disease. The challenge is most people are only diagnosed once their symptoms are quite advanced. Furthermore, diagnosing dementia currently involves invasive and costly tests such as PET (positron emission tomography) scans and analyses of cerebrospinal fluid (CSF).

The goal of the PREDICTOM project is to develop a screening platform capable of identifying people at risk of dementia, before the first symptoms appear. Crucially, patients would be able to start the screening process from the comfort of their own homes. They could collect samples of bodily fluids, and use digital technologies to gather results (e.g. smartphone-based eye tracking and cognitive tests).

Samples will be sent to the PREDICTOM partners’ laboratories, and then to the PREDICTOM platform for processing of the data. Algorithms based on artificial intelligence (AI) would then assess the person’s risk of developing dementia and their prognosis. In this way, the platform will facilitate the early diagnosis of a wider range of people, enabling earlier intervention and hopefully slowing progress of the disease.

Over 4 000 people from across Europe will take part in the PREDICTOM study. The project brings together industry, academia, patient groups and hospitals.

Achievements & News


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Universities, research organisations, public bodies, non-profit groups
  • Ethniko Kentro Erevnas Kai Technologikis Anaptyxis, Thermi Thessaloniki, Greece
  • Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V., München, Germany
  • Fundacion Para La Investigacion Del Hospital Universitario La Fe De La Comunidad Valenciana, Valencia, Spain
  • Helse Stavanger Hf, Stavanger, Norway
  • Joanneum Research Forschungsgesellschaft Mbh, Graz, Austria
  • King'S College London, London, United Kingdom
  • Ludwig-Maximilians-Universitaet Muenchen, Munich, Germany
  • National Institute For Health And Care Excellence, Manchester, United Kingdom
  • The University Of Exeter, Exeter, United Kingdom
  • Universitatsklinikum Erlangen, Erlangen, Germany
  • Universite De Geneve, Genève 4, Switzerland
  • Vrije Universiteit Brussel, Brussel, Belgium
Small and medium-sized enterprises (SMEs) and mid-sized companies (<€500 m turnover)
  • Alzheimer Europe, Luxembourg, Luxembourg
  • Qairnel SAS, Bourg-la-Reine, France
  • Stichting Lygature, Utrecht, Netherlands
Third parties
  • Ge Healthcare Magyarorszag Kft, Budapest, Hungary
  • Ge Medical Systems Scs, Buc, France
  • Klinikum Der Universitat Munchen, Munchen, Germany
  • Siemens Healthcare Diagnostics Inc., Berkeley, United States
  • Siemens Healthcare Private Limited, Mumbai, India
  • Siemens Medical Solutions Usa Inc, Malvern Pa, United States
IHI industry partners
  • Ge Healthcare GMBH, Solingen, Germany
  • Novo Nordisk A/S, Bagsvaerd, Denmark
  • Siemens Healthcare GMBH, Erlangen, Germany
Contributing partners
  • Altoida Inc, Wilmington, United States
  • Alzpath Inc, Carlsbad, United States
  • Braincheck Inc, Austin, United States
  • Gn Hearing As, Ballerup, Denmark
  • Icometrix Nv, Leuven, Belgium
  • Muhdo Health LTD, Martlesham, United Kingdom
  • Pharmacoidea Fejleszto Es Szolgaltato Kft, Szeged, Hungary

NameEU funding in €
Alzheimer Europe288 750
Ethniko Kentro Erevnas Kai Technologikis Anaptyxis446 250
Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V.622 575
Fundacion Para La Investigacion Del Hospital Universitario La Fe De La Comunidad Valenciana683 681
Ge Healthcare GMBH400 000
Helse Stavanger Hf1 175 875
Icometrix Nv698 500
Joanneum Research Forschungsgesellschaft Mbh353 541
Pharmacoidea Fejleszto Es Szolgaltato Kft200 000
Qairnel SAS401 500
Siemens Healthcare GMBH424 210
Stichting Lygature583 328
Universitatsklinikum Erlangen393 875
Vrije Universiteit Brussel426 875
Third parties
NameFunding in €
Ge Healthcare Magyarorszag Kft750 000
Klinikum Der Universitat Munchen600 366
Total Cost8 449 326