Opportunity for the HORIZON-HLTH-2024-STAYHLTH-01-05-two-stage funding call

Personalised prevention of non-communicable diseases - addressing areas of unmet needs using multiple data sources

Stage 1 Deadline:

September 19, 2023

Stage 2 Deadline:

April 11, 2024

Project types:

  1. HORIZON-RIA HORIZON Research and Innovation Actions

Project Proposal

The call HORIZON-HLTH-2024-STAYHLTH-01-05-two-stage has been scheduled to close, so this opportunity is no longer current.

Our project will focus on effective personalised prevention schemes for citizens and health care providers taking into account individual characteristics and situations. Our methodological approach will be to run a multi-center case-control study selecting a representative sample of EU and non-EU citizens. An extensive set of sociodemographic, clinical, lifestyle and biochemical markers will be selected. These conventional markers are currently used in most of the existing algorithms for cardiovascular disease risk prediction that guide the application of lifestyle or pharmaceutical interventions; yet the performance is still limited. To this issue, our vision is – through multi-omics analysis – to identify different patterns of patients with similar traits which will allow for effective personalised disease prevention. Proteomics and metabolomics data can give a direct view into the key molecules of cardiometabolic pathways and individual reactions. This information will be used to upgrade the existing algorithms and to identify specific molecules that will be used as efficiency targets for lifestyle and especially pharmaceutical interventions.
We are looking for a high-efficiency laboratory from the field of Biochemistry that provides services in relation to Metabolomic, Lipidomic and Proteomic Data Analysis in human serum or plasma samples from adults using Mass Spectrometry or other relevant analytical techniques as well as implementation of Bioinformatic analysis i.e., Principal Component Analysis, Expression Heatmap, Differential Expression Analysis, Pathway Analysis.