3-Dimensional facial analysis-facing precision public health

Gareth Baynam, Alicia Bauskis, Nicholas Pachter, Lyn Schofield, Hedwig Verhoef, Richard L. Palmer, Stefanie Kung, Petra Helmholz, Michael Ridout, Caroline E. Walker, Anne Hawkins, Jack Goldblatt, Tarun S. Weeramanthri, Hugh J.S. Dawkins, Caron M. Molster

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number31
JournalFrontiers in Public Health
Volume5
DOIs
Publication statusPublished - 10 Apr 2017

Fingerprint

Public Health
Public Health Practice
Technology
Phenotype
United States Public Health Service
Centers for Disease Control and Prevention (U.S.)
Population Groups
Genotype
Health
Population
Therapeutics

Cite this

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. In: Frontiers in Public Health. 2017 ; Vol. 5.
@article{82c06a8433fa49aba9e6a0a9ad4f621a,
title = "3-Dimensional facial analysis-facing precision public health",
abstract = "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.",
keywords = "3D facial scan, Developmental disabilities, Genomics and genetics, Public health, Rare diseases, Spatial information",
author = "Gareth Baynam and Alicia Bauskis and Nicholas Pachter and Lyn Schofield and Hedwig Verhoef and Palmer, {Richard L.} and Stefanie Kung and Petra Helmholz and Michael Ridout and Walker, {Caroline E.} and Anne Hawkins and Jack Goldblatt and Weeramanthri, {Tarun S.} and Dawkins, {Hugh J.S.} and Molster, {Caron M.}",
year = "2017",
month = "4",
day = "10",
doi = "10.3389/fpubh.2017.00031",
language = "English",
volume = "5",
journal = "Frontiers in Public Health",
issn = "2296-2565",
publisher = "Frontiers Media SA",

}

Baynam, G, Bauskis, A, Pachter, N, Schofield, L, Verhoef, H, Palmer, RL, Kung, S, Helmholz, P, Ridout, M, Walker, CE, Hawkins, A, Goldblatt, J, Weeramanthri, TS, Dawkins, HJS & Molster, CM 2017, '3-Dimensional facial analysis-facing precision public health' Frontiers in Public Health, vol. 5, 31. https://doi.org/10.3389/fpubh.2017.00031

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.

In: Frontiers in Public Health, Vol. 5, 31, 10.04.2017.

Research output: Contribution to journalArticle

TY - JOUR

T1 - 3-Dimensional facial analysis-facing precision public health

AU - Baynam, Gareth

AU - Bauskis, Alicia

AU - Pachter, Nicholas

AU - Schofield, Lyn

AU - Verhoef, Hedwig

AU - Palmer, Richard L.

AU - Kung, Stefanie

AU - Helmholz, Petra

AU - Ridout, Michael

AU - Walker, Caroline E.

AU - Hawkins, Anne

AU - Goldblatt, Jack

AU - Weeramanthri, Tarun S.

AU - Dawkins, Hugh J.S.

AU - Molster, Caron M.

PY - 2017/4/10

Y1 - 2017/4/10

N2 - 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.

AB - 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.

KW - 3D facial scan

KW - Developmental disabilities

KW - Genomics and genetics

KW - Public health

KW - Rare diseases

KW - Spatial information

UR - http://www.scopus.com/inward/record.url?scp=85027276389&partnerID=8YFLogxK

U2 - 10.3389/fpubh.2017.00031

DO - 10.3389/fpubh.2017.00031

M3 - Article

VL - 5

JO - Frontiers in Public Health

JF - Frontiers in Public Health

SN - 2296-2565

M1 - 31

ER -