University of Oulu

Merino Martinez, R., Müller, H., Negru, S., Ormenisan, A., Arroyo Mühr, L. S., Zhang, X., Trier Møller, F., Clements, M. S., Kozlakidis, Z., Pimenoff, V. N., Wilkowski, B., Boeckhout, M., Öhman, H., Chong, S., Holzinger, A., Lehtinen, M., van Veen, E.-B., Bała, P., Widschwendter, M., … Dillner, J. (2021). Human exposome assessment platform. Environmental Epidemiology, 5(6), e182. https://doi.org/10.1097/EE9.0000000000000182

Human exposome assessment platform

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Author: Merino Martinez, Roxana1; Müller, Heimo2; Negru, Stefan3;
Organizations: 1Karolinska Institutet, Stockholm, Sweden
2Medical University Graz, Graz, Austria
3CSC—IT Center for Science Ltd, Espoo, Finland
4Logical Clocks AB, Stockholm, Sweden
5Stanford University, Stanford, CA
6Infectious Disease Epidemiology and Prevention, Statens Serum Institut, Copenhagen, Denmark
7International Agency for Research on Cancer, World Health Organization, Lyon, France
8Faculty of Medicine, University of Oulu, Oulu, Finland
9Tampere University, Tampere, Finland
10Danish National Biobank, Statens Serum Institut, Copenhagen, Denmark
11MLCF (Stichting MLC Foundation), The Hague, The Netherlands
12Biobank Borealis of Northern Finland, Oulu University Hospital, Oulu, Finland
13University of Warsaw, Warsaw, Poland
14Research Institute for Biomedical Aging Research, Universität Innsbruck, Innsbruck, Austria
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 0.9 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2022022320615
Language: English
Published: Wolters Kluwer, 2021
Publish Date: 2022-02-23
Description:

Abstract

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.

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Series: Environmental epidemiology
ISSN: 2474-7882
ISSN-E: 2474-7882
ISSN-L: 2474-7882
Volume: 5
Issue: 6
Article number: 000182
DOI: 10.1097/EE9.0000000000000182
OADOI: https://oadoi.org/10.1097/EE9.0000000000000182
Type of Publication: A1 Journal article – refereed
Field of Science: 1182 Biochemistry, cell and molecular biology
3141 Health care science
Subjects:
AI
Funding: The results reported herein correspond to specific aims of grant 874662 to the HEAP consortium from the European Union including funding to support open access publishing.
EU Grant Number: (874662) HEAP - Human Exposome Assessment Platform
Copyright information: © 2021 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of The Environmental Epidemiology. All rights reserved. This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  https://creativecommons.org/licenses/by/4.0/