Heart failure (HF) is a complex chronic disease with numerous risk factors, e.g. genetic predisposition, or physical inactivity, and promises a strong susceptibility to a patient-specific, systems medicine treatment approach. Interdisciplinary experts of the SMART consortium establish concrete methods for interrelating parameters and modeling of HF to improve patient care.In a joint effort, the transcriptome, proteome, cell function, regulating hormones, tissue composition, hemodynamics and whole organ function up to a whole body description of patients suffering from HF are derived by the consortium members. Real-world data is acquired in the course of a dedicated observational study of patients undergoing a replacement of the left ventricle valve.
Within the scope of the SMART project we define and explore the emerging field of systems medicine from an IT perspective and provide a design and implementation of a systems medicine IT platform, which is suited for a concrete use case of the SMART consortium. Reusable software artifacts include a streamlined research process for systems medicine (indication heart failure), the systematic integration of partner data from heterogeneous sources into central software infrastructure, event-driven notifications to guarantee flow of process steps, reproducible research through standardized processing and analysis pipelines and the interactive analysis of differential gene expression in the clinical context.
You can find further detail about SMART at the project website.