Authors:
Guillermo Lopez-Campos
1
;
Riccardo Bellazzi
2
and
Fernando Martin-Sanchez
1
Affiliations:
1
The University of Melbourne, Australia
;
2
University of Pavia, Italy
Keyword(s):
Exposome, Exposome Informatics, Biomedical Informatics, Health Informatics, Precision Medicine, Big Data, Small Data.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Biomedical Signal Processing
;
Cardiovascular Technologies
;
Cloud Computing
;
Computing and Telecommunications in Cardiology
;
Devices
;
Distributed and Mobile Software Systems
;
e-Health
;
e-Health for Public Health
;
Health Engineering and Technology Applications
;
Health Information Systems
;
Human-Computer Interaction
;
Medical and Nursing Informatics
;
Mobile Technologies
;
Mobile Technologies for Healthcare Applications
;
Neural Rehabilitation
;
Neurotechnology, Electronics and Informatics
;
Physiological Computing Systems
;
Platforms and Applications
;
Software Engineering
;
Wearable Sensors and Systems
Abstract:
In the last decade we have witnessed the raising of the exposome (the set of a life-long individual
exposures) as an increasingly interesting area and discipline due to its relationship with health. These new
approaches rely heavily in the use of different informatics related methods and are generating new data
types that in the future should be handled by biomedical informatics. This position paper refers to some of
the challenges that are related with these new approaches from a biomedical informatics perspective,
describing the interactions with related disciplines such as bioinformatics, public health informatics and
others. We discuss as well the role of the exposome in bringing new data types that might be handled by
biomedical informatics in the context of Big and small data generated in this approaches and its relationship
with the participatory medicine and how they could influence future health information systems. Finally, we
consider that the current situation of the expo
some resembles the early years of genomics, when it was clear
that genomic information had a great potential for health and drove a discussion about how to better
integrate and analyse the most relevant pieces of information for health purposes.
(More)