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DigitalMe: a journey towards personalized health and thriving
The use of information and communication technologies for health (eHealth) delivered via mobile-based or digitally enhanced solutions (mHealth) have rapidly evolved. When used together across various mobile applications and devices eHealth and mHealth technologies have the ability to passively monit...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6127958/ https://www.ncbi.nlm.nih.gov/pubmed/30189879 http://dx.doi.org/10.1186/s12938-018-0553-x |
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author | Okun, Sally Wicks, Paul |
author_facet | Okun, Sally Wicks, Paul |
author_sort | Okun, Sally |
collection | PubMed |
description | The use of information and communication technologies for health (eHealth) delivered via mobile-based or digitally enhanced solutions (mHealth) have rapidly evolved. When used together across various mobile applications and devices eHealth and mHealth technologies have the ability to passively monitor behavior as an indicator of socialization and mood; accumulate a range of biomedical data such as weight and heart rate; and track metrics associated with activities including steps taken and hours slept. Yet, these technologies are insufficient for measuring the full array of data about an individual and the impact of that data on a person’s current and future health. Digital health converges eHealth and mHealth with patient data about their health, healthcare, living, and environment with genomics. An innovative opportunity to unravel the complexities of disease and aging is increasingly possible with an integrative multi-omics approach informed by multidisciplinary sciences including medicine, design, biomedical informatics and engineering. The digitization of individual level data from all available sources makes possible the development of DigitalMe™, a personalized virtual avatar of a real person. The combination of longitudinally collected person generated data and molecular data derived from biospecimens offers researchers unique opportunities to better understand the mechanisms of disease while advancing person-centric hypotheses generation related to treatments, diagnostics, and prognostics. |
format | Online Article Text |
id | pubmed-6127958 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-61279582018-09-10 DigitalMe: a journey towards personalized health and thriving Okun, Sally Wicks, Paul Biomed Eng Online Commentary The use of information and communication technologies for health (eHealth) delivered via mobile-based or digitally enhanced solutions (mHealth) have rapidly evolved. When used together across various mobile applications and devices eHealth and mHealth technologies have the ability to passively monitor behavior as an indicator of socialization and mood; accumulate a range of biomedical data such as weight and heart rate; and track metrics associated with activities including steps taken and hours slept. Yet, these technologies are insufficient for measuring the full array of data about an individual and the impact of that data on a person’s current and future health. Digital health converges eHealth and mHealth with patient data about their health, healthcare, living, and environment with genomics. An innovative opportunity to unravel the complexities of disease and aging is increasingly possible with an integrative multi-omics approach informed by multidisciplinary sciences including medicine, design, biomedical informatics and engineering. The digitization of individual level data from all available sources makes possible the development of DigitalMe™, a personalized virtual avatar of a real person. The combination of longitudinally collected person generated data and molecular data derived from biospecimens offers researchers unique opportunities to better understand the mechanisms of disease while advancing person-centric hypotheses generation related to treatments, diagnostics, and prognostics. BioMed Central 2018-09-06 /pmc/articles/PMC6127958/ /pubmed/30189879 http://dx.doi.org/10.1186/s12938-018-0553-x Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Commentary Okun, Sally Wicks, Paul DigitalMe: a journey towards personalized health and thriving |
title | DigitalMe: a journey towards personalized health and thriving |
title_full | DigitalMe: a journey towards personalized health and thriving |
title_fullStr | DigitalMe: a journey towards personalized health and thriving |
title_full_unstemmed | DigitalMe: a journey towards personalized health and thriving |
title_short | DigitalMe: a journey towards personalized health and thriving |
title_sort | digitalme: a journey towards personalized health and thriving |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6127958/ https://www.ncbi.nlm.nih.gov/pubmed/30189879 http://dx.doi.org/10.1186/s12938-018-0553-x |
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