PredictAD

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.

For further information, please visit:
http://www.predictad.eu

Project co-ordinator:
Valtion teknillinen tutkimuskeskus VTT

Partners:

  • Nexstim Oy
  • Imperial College of Science, Technology and Medicine
  • Rigshospitalet
  • Kuopion yliopisto
  • Università degli Studi di Milano
  • GE Healthcare Ltd.
  • Uppsala universitet

Timetable: from 06/2008 – to 05/2011

Total cost: € 3.981.565

EC funding: € 2.891.526

Programme Acronym: FP7-ICT

Subprogramme Area: Virtual physiological human

Contract type: Collaborative project (generic)


Related news article:

Most Popular Now

Significant Disparities in Telemedicine …

After "COVID-19," the term that most people will remember best from 2020 is likely to be "social distancing." While it most commonly applied to social gatherings with family and friends...

Model Used to Evaluate Lockdowns was Fla…

In a recent study, researchers from Imperial College London developed a model to assess the effect of different measures used to curb the spread of the coronavirus. However, the model...

New Virtual Screening Strategy Identifie…

A novel computational drug screening strategy combined with lab experiments suggest that pralatrexate, a chemotherapy medication originally developed to treat lymphoma, could potentially be repurposed to treat COVID-19. Haiping Zhang...

Using Artificial Intelligence to Find Ne…

Scientists have developed a machine-learning method that crunches massive amounts of data to help determine which existing medications could improve outcomes in diseases for which they are not prescribed. The intent...

FDA Releases Artificial Intelligence / M…

Today, the U.S. Food and Drug Administration released the agency's first Artificial Intelligence/Machine Learning (AI/ML)-Based Software as a Medical Device (SaMD) Action Plan. This action plan describes a multi-pronged approach...

One in Four Doctors Attacked, Harassed o…

While many physicians benefit from social media by networking with potential collaborators or interfacing with patients, a new study from Northwestern University and the University of Chicago found many physicians...

CliniSys Launches Laboratory Information…

CliniSys has launched a new laboratory information management system for genomic laboratories in the UK. The company has brought GLIMS Genomics to the UK from Europe, where it is being...

The Institute of Healthcare Management C…

The Institute of Healthcare Management has called for honest and open communication about NHS capacity after a snapshot survey revealed the scale of sickness absence across the service. The UK's leading...

First NHS Trust and Sectra Achieve Rapid…

A new region-wide approach to analysing x-rays, MRI scans, CT scans, mammography, and an entire range of crucial diagnostic images, has started to become reality, now that The Pennine Acute...

Abbott to Launch the NeuroSphere™ myPath…

Abbott (NYSE: ABT) today announced the upcoming launch of NeuroSphere™ myPath™, a digital health app designed to track and report on patient perceived pain relief and general well-being associated with...

Bayer Transforms Pharma Business through…

At its virtual Pharma Media Day, Bayer presented exciting progress in transforming its pharmaceutical business with breakthrough innovation in healthcare that will significantly help patients suffering from conditions that are...