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Funded Projects › FP7

PredictAD · FROM PATIENT DATA TO PERSONALISED HEALTHCARE IN ALZHEIMER'S DISEASE

FP7Status: CLOSED1 June 200830 November 2011EU funding €2,891,526

Dementia causes long and oppressive suffering to patients and their relatives and imposes enormous costs on society. About 25 million people suffered from dementia in 2000. As a 4-fold increase of this number is expected by 2050, dementia is one main health issue of the next decades. Alzheimer's disease (AD) covers 60-70% of all dementia cases. No cure for AD exists, and effective and reliable early diagnostic techniques are lacking. Early diagnosis and progress monitoring of AD is a central part of treatment once future drugs and prevention strategies become available. There is a strong indication that different biomarkers provide a reliable and early indication of AD prior to its major clinical signs. However, optimal early diagnosis requires information from a combination of different biomarkers to be used in a clinically useful way.The objective of PredictAD is 1) to find the best combination of biomarkers for AD diagnostics from heterogeneous data (imaging, electrophysiology, molecular level, clinical tests, demographics) and 2) to develop clinically useful tools integrating the optimal biomarker results. Comprehensive biomarker discovery techniques and rigorous statistical models will be developed using the consortium's large databases. The accuracy and usability of models and tool will be clinically evaluated. The cost-effectiveness of heterogeneous data in AD diagnostic procedures will be studied.By reaching its objectives, PredictAD provides an efficient and reliable solution for early AD diagnosis in clinical practice. The impacts on patients, their relatives and society are reduced suffering and costs. As we are living in the dawn of an era of new drugs and prevention strategies combined with increasing AD prevalence, now is the time to exploit the vast potential of information hiding in heterogeneous patient databases. PredictAD combines the best forces in Europe to solve the AD diagnostics problem, and hence strengthens EU leadership on the market.

Consortium · 10 organisations

coordinator

TEKNOLOGIAN TUTKIMUSKESKUS VTT

FI · €1,025,419

participant

REGION HOVEDSTADEN

DK · €156,180

participant

IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE

UK · €531,786

participant

NEXSTIM OY*

FI · €94,200

participant

UPPSALA UNIVERSITET

SE

participant

UNIVERSITA DEGLI STUDI DI MILANO

IT · €273,564

participant

KAROLINSKA INSTITUTET

SE · €218,700

participant

University of Kuopio

FI · €95,778

participant

ITA-SUOMEN YLIOPISTO

FI · €301,514

participant

GE HEALTHCARE LIMITED

UK · €194,385

Research fields

View the official record on CORDIS →

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Source: CORDIS, Publications Office of the European Union. Global Research Partnerships surfaces open EU research data to help you find collaborators; we are not affiliated with the European Union.