Human exposome assessment platform

Roxana Merino Martinez, Heimo Muller, Stefan Negru, Alex Ormenisan, Laila Sara Arroyo Muhr, Xinyue Zhang, Frederik Trier Moller, Mark S. Clements, Zisis Kozlakidis, Ville N. Pimenoff, Bartlomiej Wilkowski, Martin Boeckhout, Hanna Öhman, Steven Chong, Andreas Holzinger, Matti Lehtinen, Evert Ben Van Veen, Piotr Bala, Martin Widschwendter, Jim DowlingJuha Tornroos, Michael P. Snyder, Joakim Dillner

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The Human Exposome Assessment Platform (HEAP) is a research resource for the integrated and efficient management and analysis of human exposome data. The project will provide the complete workflow for obtaining exposome actionable knowledge from population-based cohorts. HEAP is a state-of-the-science service composed of computational resources from partner institutions, accessed through a software framework that provides the world's fastest Hadoop platform for data warehousing and applied artificial intelligence (AI). The software, will provide a decision support system for researchers and policymakers. All the data managed and processed by HEAP, together with the analysis pipelines, will be available for future research. In addition, the platform enables adding new data and analysis pipelines. HEAP's final product can be deployed in multiple instances to create a network of shareable and reusable knowledge on the impact of exposures on public health.

Original languageEnglish
Article numbere182
JournalEnvironmental Epidemiology
Issue number6
Publication statusPublished - 3 Dec 2021
Publication typeA1 Journal article-refereed


  • AI
  • Bioinformatics
  • Cohort
  • Data management
  • Exposome
  • FAIR
  • IaaS
  • Machine learning
  • PaaS

Publication forum classification

  • Publication forum level 0

ASJC Scopus subject areas

  • Epidemiology
  • Public Health, Environmental and Occupational Health
  • Global and Planetary Change
  • Health, Toxicology and Mutagenesis
  • Pollution


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