Integration and analysis of heterogeneous big data for precision medicine and suggested treatments for different types of patients

IASiS is an EU funded project that seeks to pave the way for precision medicine approaches by utilising insights from patient data. It aims to combine information from medical records, imaging databases and genomics data to enable more personalised diagnosis and treatment approaches in two disease areas – lung cancer and Alzheimer’s disease.

Duration:  2017 – 2020 (39 months)

Funding source (Code): H2020 [RIA] (727658)

Participant entities: National Center for Scientific Research DEMOKRITOS, Athens Technology Center S.A, Rheinische Friedrich-Wilhems Universitat Bonn, Universidad Politécnica de Madrid, Servicio Madrileño de Salud, St George’s Hospital Medical School, Alzheimer’s Research UK, Funcacio Centre de Regulacio Genomica, Grupo español de investigación en cancer de pulmón, University System of Maryland Foundation INC

Official webpage:

CORDIS webpage:

Laboratory/internal web:

Responsible: Ernestina Menasalvas Ruiz