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Bridging the Early Diagnosis and Treatment Gap of Brain Diseases via Smart, Connected, Proactive and Evidence-based Technological Interventions

Project description

Lowering treatment costs for brain disorders through AI

In healthcare, the cost of treating brain disorders accounts for a significant percentage of total treatment costs. In Europe, the budget for treating brain disorders alone far surpasses the combined budget for other diseases. Utilising cutting-edge AI, the EU-funded ALAMEDA project could greatly reduce the cost of treating these conditions by enabling personalised care and improved treatments for major brain disorders. The goal is to demonstrate AI-enabled prediction, prevention and intervention, making the treatment of disorders such as Parkinson's, multiple sclerosis and strokes more affordable and easing the burden on healthcare systems across Europe.

Objective

Direct costs of brain disorders make up for 60% of the total costs – which EBC estimated at 800 bln€/year in Europe. At European level, this health budget far exceeds that of cardiovascular diseases, brain diseases and diabetes together. ALAMEDA will research, develop and exploit the next generation of personalized AI healthcare support systems that improve the rehabilitation treatment of Parkinson’s, Multiple Sclerosis, and Stroke (PMSS) patients. Stemming from very specific clinical use cases, ALAMEDA will develop user-friendly solutions that will be designed and evaluated on the principles of value-based health. The consortium brings together established medical research teams, AI researchers, medical software vendors and healthcare market experts to demonstrate AI-based personalised prediction, prevention, and intervention approach in three (3) real world pilots. Liaisons have been established with projects MULTI-ACT and IDEA-FAST and the carefully structured workplan, embodies an integrated and harmonized approach with active patients’ engagement towards meeting the ALAMEDA objectives and delivering market-relevant outcomes of significant exploitation potential.

Call for proposal

H2020-SC1-DTH-2018-2020

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Sub call

H2020-SC1-DTH-2020-1

Coordinator

EREVNITIKO PANEPISTIMIAKO INSTITOUTO SYSTIMATON EPIKOINONION KAI YPOLOGISTON
Net EU contribution
€ 704 375,00
Address
Patision 42
106 82 Athina
Greece

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Region
Αττική Aττική Κεντρικός Τομέας Αθηνών
Activity type
Research Organisations
Links
Other funding
€ 0,00

Participants (15)