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| Funder | European Commission |
|---|---|
| Recipient Organization | Oslo Universitetssykehus Hf |
| Country | Norway |
| Start Date | Mar 01, 2021 |
| End Date | Feb 28, 2026 |
| Duration | 1,825 days |
| Number of Grantees | 25 |
| Roles | Participant; Coordinator; Third Party; Former Principal Investigator; Principal Investigator; Co-Principal Investigator; Former Co-Principal Investigator |
| Data Source | European Commission |
| Grant ID | 964220 |
More than 10 million Europeans show signs of mild cognitive impairment (MCI), a condition intermediate between normal brain ageing and dementia.
The evolution of MCI differs from person to person; some remain stable or return to normal, but 50% progress to dementia within five years. Current practice lacks the necessary screening tools to identify those 50% at risk.
The patient’s journey typically takes many years of inefficient clinical follow-ups before a conclusive diagnosis is finally reached.
AI-Mind will radically shorten this journey to 1 week through a digital solution that is able to provide a fast and accurate (>95%) prediction for the individual dementia risk.
Our AI-Mind platform service, can be easily integrated into existing clinical practices and contains 2 new artificial-intelligence-based tools. The AI-Mind Connector identifies dysfunctional brain networks.
The AI-Mind Predictor assesses demen-tia risk using data from the Connector, advanced cognitive tests, genetic biomarkers and important textual variables. Our aim is to set up a European clinical network that will upload patient data to the AI-Mind European cloud platform.
The consortium comprises excellent researchers in neuroscience and computer science, from 5 clinical cen-tres, who closely collaborate with 3 SMEs contributing unique technologies, an established data govern-ance body, and Alzheimer Europe. Together, they plan to deliver a medical device of class 2b that can reach TRL7 by the end of the project.
AI-Mind represents a major step forward in the risk assessment of dementia.
Clinicians will promptly advise therapies to delay the onset of disease, and patients will enjoy independent lives for longer.
By offering a globally accessible, cheap and precise tool for dementia pre-diction, AI-Mind will improve the health care system and boost innovation by shifting the R&D of phar-maceutical organisations and other companies to preventive diagnostic methods and therapies for dementia.
Hus-Yhtyma; Irccs San Raffaele Roma Srl; Pre Diagnostics As; Stichting Radboud Universiteit; Lurtis Rules Sl; Oslo Universitetssykehus Hf; F. Hoffmann-la Roche Ag; Stichting Radboud Universitair Medisch Centrum; Aalto Korkeakoulusaatio Sr; Oslomet - Storbyuniversitetet; Dnv As; Universidad Complutense de Madrid; Neuroconnect Srl; Universitetet I Oslo; Brainsymph As; Accelopment Schweiz Ag; Alzheimer Europe; Universidad Politecnica de Madrid; Universita Cattolica Del Sacro Cuore; Roche Diagnostics International Ag; Tallinn University; Arizona State University
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