Human Exposome Assessment Platform

Objective

HEAP will provide a research resource for the integrated and efficient analysis of the human exposome. One primary outcome of the project is the complete process for obtaining actionable knowledge from the following sustainable cohorts: 1) a nation-wide Maternity Cohort where the impact of exposures on the health of women and children is supported by measures from wearable exposure sensors and metabolomics analysis, 2) a large cervical screening cohort enabling studies on women´s health supported with systematic epigenomics and metagenomics analyses, 3) and the systematic collection of consumer purchasing receipts linked to health outcomes will open new possibilities for assessing the impact of exposures on health in households. HEAP will launch a state-of-the-science informatics infrastructure (IaaS) composed of prime ICT resources from partner institutions in several EU countries, accessed through a software platform (PaaS) that includes the world’s fastest Hadoop platform to provide data warehousing and applied AI. The platform customised for exposome assessment will provide a decision support system for researchers, policymakers, and industry. All the data managed and processed by HEAP will be available for future research as well as the developed analyses. The platform can be enriched with new data and analysis pipelines and can be deployed in multiple instances to create a HEAP network towards producing shareable and reusable knowledge to promote health in society. HEAP will be under the umbrella of the European Human Exposome Network and will actively commit to collaboration and sharing of results and outcomes as well as contribute to i) a common ethical and regulatory framework, ii) common standardization and FAIRness of exposome data and iii) common dissemination strategies and efforts.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.

• natural sciences computer and information sciences software
• engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors
• natural sciences biological sciences genetics epigenetics
• medical and health sciences health sciences public health epidemiology exposomes

Keywords

Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)

• wearable sensors
• cohort
• artificial intelligence
• big data
• metabolomics
• microbiomics
• IaaS
• PaaS
• information commons
• FAIR

Coordinator

Participants (12)