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Sökning: WFRF:(Orešič Matej 1967 ) > The PredictAD proje...

  • Antila, KariVTT Technical Research Centre of Finland, Tampere, Finland (författare)

The PredictAD project : development of novel biomarkers and analysis software for early diagnosis of the Alzheimer's disease

  • Artikel/kapitelEngelska2013

Förlag, utgivningsår, omfång ...

  • 2013-04-06
  • The Royal Society Publishing,2013
  • printrdacarrier

Nummerbeteckningar

  • LIBRIS-ID:oai:DiVA.org:oru-63678
  • https://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-63678URI
  • https://doi.org/10.1098/rsfs.2012.0072DOI
  • http://kipublications.ki.se/Default.aspx?queryparsed=id:126223504URI

Kompletterande språkuppgifter

  • Språk:engelska
  • Sammanfattning på:engelska

Ingår i deldatabas

Klassifikation

  • Ämneskategori:ref swepub-contenttype
  • Ämneskategori:art swepub-publicationtype

Anmärkningar

  • Alzheimer's disease (AD) is the most common cause of dementia affecting 36 million people worldwide. As the demographic transition in the developed countries progresses towards older population, the worsening ratio of workers per retirees and the growing number of patients with age-related illnesses such as AD will challenge the current healthcare systems and national economies. For these reasons AD has been identified as a health priority, and various methods for diagnosis and many candidates for therapies are under intense research. Even though there is currently no cure for AD, its effects can be managed. Today the significance of early and precise diagnosis of AD is emphasized in order to minimize its irreversible effects on the nervous system. When new drugs and therapies enter the market it is also vital to effectively identify the right candidates to benefit from these. The main objective of the PredictAD project was to find and integrate efficient biomarkers from heterogeneous patient data to make early diagnosis and to monitor the progress of AD in a more efficient, reliable and objective manner. The project focused on discovering biomarkers from biomolecular data, electrophysiological measurements of the brain and structural, functional and molecular brain images. We also designed and built a statistical model and a framework for exploiting these biomarkers with other available patient history and background data. We were able to discover several potential novel biomarker candidates and implement the framework in software. The results are currently used in several research projects, licensed to commercial use and being tested for clinical use in several trials.

Ämnesord och genrebeteckningar

Biuppslag (personer, institutioner, konferenser, titlar ...)

  • Lötjönen, JyrkiVTT Technical Research Centre of Finland, Tampere, Finland (författare)
  • Thurfjell, LennartGE Healthcare, Stockholm, Sweden (författare)
  • Laine, JarmoNexstim Ltd, Helsinki, Finland (författare)
  • Massimini, MarcelloUniversity of Milan, Milan, Italy (författare)
  • Rueckert, DanielImperial College London, London, United Kingdom (författare)
  • Zubarev, Roman A.Karolinska Institutet (författare)
  • Oresic, Matej,1967-Örebro universitet,Institutionen för medicinska vetenskaper,VTT Technical Research Centre of Finland, Tampere, Finland(Swepub:oru)moc (författare)
  • van Gils, MarkVTT Technical Research Centre of Finland, Tampere, Finland (författare)
  • Mattila, JussiVTT Technical Research Centre of Finland, Tampere, Finland (författare)
  • Hviid Simonsen, AnjaRigshospitalet, Copenhagen, Denmark (författare)
  • Waldemar, GunhildRigshospitalet, Copenhagen, Denmark (författare)
  • Soininen, HilkkaUniversity of Eastern Finland, Kuopio, Finland (författare)
  • VTT Technical Research Centre of Finland, Tampere, FinlandGE Healthcare, Stockholm, Sweden (creator_code:org_t)

Sammanhörande titlar

  • Ingår i:Interface Focus: The Royal Society Publishing3:22042-88982042-8901

Internetlänk

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