Exposome informatics: considerations for the design of future biomedical research information systems

@article{MartnSnchez2014ExposomeIC,
  title={Exposome informatics: considerations for the design of future biomedical research information systems},
  author={Fernando Mart{\'i}n-S{\'a}nchez and Kathleen Mary Gray and Riccardo Bellazzi and Guillermo H. L{\'o}pez-Campos},
  journal={Journal of the American Medical Informatics Association : JAMIA},
  year={2014},
  volume={21 3},
  pages={
          386-90
        }
}
The environment's contribution to health has been conceptualized as the exposome. Biomedical research interest in environmental exposures as a determinant of physiopathological processes is rising as such data increasingly become available. The panoply of miniaturized sensing devices now accessible and affordable for individuals to use to monitor a widening range of parameters opens up a new world of research data. Biomedical informatics (BMI) must provide a coherent framework for dealing with… 
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51 Citations
Background Citations
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Methods Citations
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Progress in Characterizing the Human Exposome: a Key Step for Precision Medicine
TLDR
This contribution is to raise awareness within the health informatics community about the importance of dealing with data related to the contribution of environmental factors to individual health, particularly in the context of precision medicine informatics.
Big Data Challenges from an Integrative Exposome/Expotype Perspective
TLDR
This chapter presents eight challenges related to the processing of individual exposome (expotype) big data and how to integrate them with genomic and clinical data for biomedical research and clinical practice.
Big data and biomedical informatics: a challenging opportunity.
  • R. Bellazzi
  • Computer Science
    Yearbook of medical informatics
  • 2014
TLDR
The way forward with the big data opportunity will require properly applied engineering principles to design studies and applications, to avoid preconceptions or over-enthusiasms, to fully exploit the available technologies, and to improve data processing and data management regulations.
Precision Medicine Informatics: Principles, Prospects, and Challenges
TLDR
The paper proposes an integrated holistic framework for PM motivating informatics researchers to design their relevant research work in an appropriate context and provides some guidelines for future research for a seamless implementation and a wide-scale deployment of PM.
Community Approaches for Integrating Environmental Exposures into Human Models of Disease
TLDR
A preliminary semantic data model is presented that will facilitate the inclusion of exposure data in computational analysis of human disease and use cases and competency questions for further community-driven model development and refinement are presented.
Use of the "Exposome" in the Practice of Epidemiology: A Primer on -Omic Technologies.
TLDR
The inherent value of exposomic data in epidemiologic studies is that they can provide greater understanding of the relationships among a broad range of chemical and other risk factors and health conditions and ultimately lead to more effective and efficient disease prevention and control.
Digital Medicine and Biomedical Informatics: What's in a Name?
TLDR
The paper, and subsequent responses, identify and clarify a number of issues that have recently led to both excitement and angst in the biomedical informatics (BMI) community and constitute a valuable snapshot of where the field currently stands and of the issues that are affecting its trajectory and its appreciation in the larger world of biomedicine.
Integrated Biomedical System
TLDR
The Integrated Biomedical System is being developed to demonstrate an adaptable open-source tool for reducing the burden associated with integrating heterogeneous genome, interactome, and exposome data from a constantly evolving landscape of biomedical data generating technologies.
Semantic Standards of External Exposome Data.
Semantic Modeling for Exposomics with Exploratory Evaluation in Clinical Context
TLDR
Feasibility of semiautomatically developing a useful semantic resource for exposomics is demonstrated by developing a template-driven approach to identifying exposome concepts from the Unified Medical Language System.
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