Scientific Objectives

• To find efficient biomarkers from heterogeneous patient data and integrate them for making early diagnosis and progress monitoring of AD more efficient, reliable and objective.

• To improve the cost-effectiveness of AD diagnostics by optimising diagnostic protocols.

Technical Objectives

• • To develop an efficient and reliable software solution that a physician can use to assess the risk, to diagnose and to monitor the progress of AD in real clinical conditions using heterogeneous data.

• • To develop a strictly evidence-based statistical framework, via precise modeling of heterogeneous data, which allows objective AD diagnostics.

• To develop data quantification methods for AD meeting various critical clinical requirements, including accuracy and computation time.

Expected Results

• For scientific community

  Knowledge on novel biomarkers and their optimal combination in the early diagnosis and progress monitoring of AD.

• For clinicians

  Software solution for clinical practice allowing earlier diagnosis and better progress monitoring in AD.
  Optimized diagnostic procedures.

• For companies

  New methods for AD diagnostics potentially opening new and significant markets.

• For European citizen

  Earlier diagnosis of AD leading to better quality of life.