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3-Dimensional Facial Analysis—Facing Precision Public Health
Precision public health is a new field driven by technological advances that enable more precise descriptions and analyses of individuals and population groups, with a view to improving the overall health of populations. This promises to lead to more precise clinical and public health practices, acr...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5385440/ https://www.ncbi.nlm.nih.gov/pubmed/28443272 http://dx.doi.org/10.3389/fpubh.2017.00031 |
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author | Baynam, Gareth Bauskis, Alicia Pachter, Nicholas Schofield, Lyn Verhoef, Hedwig Palmer, Richard L. Kung, Stefanie Helmholz, Petra Ridout, Michael Walker, Caroline E. Hawkins, Anne Goldblatt, Jack Weeramanthri, Tarun S. Dawkins, Hugh J. S. Molster, Caron M. |
author_facet | Baynam, Gareth Bauskis, Alicia Pachter, Nicholas Schofield, Lyn Verhoef, Hedwig Palmer, Richard L. Kung, Stefanie Helmholz, Petra Ridout, Michael Walker, Caroline E. Hawkins, Anne Goldblatt, Jack Weeramanthri, Tarun S. Dawkins, Hugh J. S. Molster, Caron M. |
author_sort | Baynam, Gareth |
collection | PubMed |
description | Precision public health is a new field driven by technological advances that enable more precise descriptions and analyses of individuals and population groups, with a view to improving the overall health of populations. This promises to lead to more precise clinical and public health practices, across the continuum of prevention, screening, diagnosis, and treatment. A phenotype is the set of observable characteristics of an individual resulting from the interaction of a genotype with the environment. Precision (deep) phenotyping applies innovative technologies to exhaustively and more precisely examine the discrete components of a phenotype and goes beyond the information usually included in medical charts. This form of phenotyping is a critical component of more precise diagnostic capability and 3-dimensional facial analysis (3DFA) is a key technological enabler in this domain. In this paper, we examine the potential of 3DFA as a public health tool, by viewing it against the 10 essential public health services of the “public health wheel,” developed by the US Centers for Disease Control. This provides an illustrative framework to gage current and emergent applications of genomic technologies for implementing precision public health. |
format | Online Article Text |
id | pubmed-5385440 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-53854402017-04-25 3-Dimensional Facial Analysis—Facing Precision Public Health Baynam, Gareth Bauskis, Alicia Pachter, Nicholas Schofield, Lyn Verhoef, Hedwig Palmer, Richard L. Kung, Stefanie Helmholz, Petra Ridout, Michael Walker, Caroline E. Hawkins, Anne Goldblatt, Jack Weeramanthri, Tarun S. Dawkins, Hugh J. S. Molster, Caron M. Front Public Health Public Health Precision public health is a new field driven by technological advances that enable more precise descriptions and analyses of individuals and population groups, with a view to improving the overall health of populations. This promises to lead to more precise clinical and public health practices, across the continuum of prevention, screening, diagnosis, and treatment. A phenotype is the set of observable characteristics of an individual resulting from the interaction of a genotype with the environment. Precision (deep) phenotyping applies innovative technologies to exhaustively and more precisely examine the discrete components of a phenotype and goes beyond the information usually included in medical charts. This form of phenotyping is a critical component of more precise diagnostic capability and 3-dimensional facial analysis (3DFA) is a key technological enabler in this domain. In this paper, we examine the potential of 3DFA as a public health tool, by viewing it against the 10 essential public health services of the “public health wheel,” developed by the US Centers for Disease Control. This provides an illustrative framework to gage current and emergent applications of genomic technologies for implementing precision public health. Frontiers Media S.A. 2017-04-10 /pmc/articles/PMC5385440/ /pubmed/28443272 http://dx.doi.org/10.3389/fpubh.2017.00031 Text en Copyright © 2017 Baynam, Bauskis, Pachter, Schofield, Verhoef, Palmer, Kung, Helmholz, Ridout, Walker, Hawkins, Goldblatt, Weeramanthri, Dawkins and Molster. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Public Health Baynam, Gareth Bauskis, Alicia Pachter, Nicholas Schofield, Lyn Verhoef, Hedwig Palmer, Richard L. Kung, Stefanie Helmholz, Petra Ridout, Michael Walker, Caroline E. Hawkins, Anne Goldblatt, Jack Weeramanthri, Tarun S. Dawkins, Hugh J. S. Molster, Caron M. 3-Dimensional Facial Analysis—Facing Precision Public Health |
title | 3-Dimensional Facial Analysis—Facing Precision Public Health |
title_full | 3-Dimensional Facial Analysis—Facing Precision Public Health |
title_fullStr | 3-Dimensional Facial Analysis—Facing Precision Public Health |
title_full_unstemmed | 3-Dimensional Facial Analysis—Facing Precision Public Health |
title_short | 3-Dimensional Facial Analysis—Facing Precision Public Health |
title_sort | 3-dimensional facial analysis—facing precision public health |
topic | Public Health |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5385440/ https://www.ncbi.nlm.nih.gov/pubmed/28443272 http://dx.doi.org/10.3389/fpubh.2017.00031 |
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