Electromagnetic fields literature analysis for precision medicine

Christopher Hawthorne; Donal Harrison; Eva McEvoy; Guillermo Lopez Campos

doi:10.3233/SHTI230349

Electromagnetic fields literature analysis for precision medicine

Christopher Hawthorne
, Donal Harrison
, Eva McEvoy
, Guillermo Lopez Campos

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

78 Downloads (Pure)

Abstract

During the last century technological advances have increased the number of anthropogenic electromagnetic fields (EMFs) and therefore human exposures. In this work we have mined from more than 30,000 EMF-related publications the genes, diseases and molecular mechanisms associated with the exposure to six different subsets of EMFs. Results show 3653 unique disease MeSH terms and 9966 unique genes identified of which only 4340 genes are human. Overall, our approach highlights the molecular aspects of the increasing exposure to EMFs.

Original language	English
Title of host publication	Caring is sharing - exploiting the value in data for health and innovation
Editors	Maria Hägglund, Madeleine Blusi, Stefano Bonacina, Lina Nilsson, Inge Cort Madsen, Sylvia Pelayo, Anne Moen, Arriel Benis, Lars Lindsköld, Parisis Gallos
Publisher	IOS Press
Pages	1069-1070
Number of pages	2
ISBN (Electronic)	9781643683898
ISBN (Print)	9781643683881
DOIs	https://doi.org/10.3233/SHTI230349
Publication status	Published - 18 May 2023

Publication series

Name	Studies in Health Technology and Informatics
Volume	302
ISSN (Print)	0926-9630
ISSN (Electronic)	1879-8365

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Electromagnetic fields
Bioinformatics
Precision Medicine
Humans
Electromagnetic Fields
Exposome
text mining
precision medicine

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10.3233/SHTI230349Licence: CC BY-NC

Electromagnetic fields literature analysis for precision medicine
Copyright 2023 European Federation for Medical Informatics (EFMI) and IOS Press. This is an open access article published under a Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits use, distribution and reproduction for non-commercial purposes, provided the author and source are cited.
Final published version, 119 KBLicence: CC BY-NC

Investigation and development of novel exposome informatics methodologies and solutions for the analysis and integration of phenome, genome and exposome data
Hawthorne, C. (Author), Lopez Campos, G. (Supervisor), Simpson, D. (Supervisor) & Devereux, B. (Supervisor), Dec 2023
Student thesis: Doctoral Thesis › Doctor of Philosophy

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Hawthorne, C., Harrison, D., McEvoy, E., & Lopez Campos, G. (2023). Electromagnetic fields literature analysis for precision medicine. In M. Hägglund, M. Blusi, S. Bonacina, L. Nilsson, I. C. Madsen, S. Pelayo, A. Moen, A. Benis, L. Lindsköld, & P. Gallos (Eds.), Caring is sharing - exploiting the value in data for health and innovation (pp. 1069-1070). (Studies in Health Technology and Informatics; Vol. 302). IOS Press. https://doi.org/10.3233/SHTI230349

Hawthorne, Christopher ; Harrison, Donal ; McEvoy, Eva et al. / Electromagnetic fields literature analysis for precision medicine. Caring is sharing - exploiting the value in data for health and innovation. editor / Maria Hägglund ; Madeleine Blusi ; Stefano Bonacina ; Lina Nilsson ; Inge Cort Madsen ; Sylvia Pelayo ; Anne Moen ; Arriel Benis ; Lars Lindsköld ; Parisis Gallos. IOS Press, 2023. pp. 1069-1070 (Studies in Health Technology and Informatics).

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abstract = "During the last century technological advances have increased the number of anthropogenic electromagnetic fields (EMFs) and therefore human exposures. In this work we have mined from more than 30,000 EMF-related publications the genes, diseases and molecular mechanisms associated with the exposure to six different subsets of EMFs. Results show 3653 unique disease MeSH terms and 9966 unique genes identified of which only 4340 genes are human. Overall, our approach highlights the molecular aspects of the increasing exposure to EMFs. ",

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author = "Christopher Hawthorne and Donal Harrison and Eva McEvoy and \{Lopez Campos\}, Guillermo",

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editor = "Maria H{\"a}gglund and Madeleine Blusi and Stefano Bonacina and Lina Nilsson and Madsen, \{Inge Cort\} and Sylvia Pelayo and Anne Moen and Arriel Benis and Lars Lindsk{\"o}ld and Parisis Gallos",

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Hawthorne, C, Harrison, D, McEvoy, E & Lopez Campos, G 2023, Electromagnetic fields literature analysis for precision medicine. in M Hägglund, M Blusi, S Bonacina, L Nilsson, IC Madsen, S Pelayo, A Moen, A Benis, L Lindsköld & P Gallos (eds), Caring is sharing - exploiting the value in data for health and innovation. Studies in Health Technology and Informatics, vol. 302, IOS Press, pp. 1069-1070. https://doi.org/10.3233/SHTI230349

Electromagnetic fields literature analysis for precision medicine. / Hawthorne, Christopher; Harrison, Donal; McEvoy, Eva et al.
Caring is sharing - exploiting the value in data for health and innovation. ed. / Maria Hägglund; Madeleine Blusi; Stefano Bonacina; Lina Nilsson; Inge Cort Madsen; Sylvia Pelayo; Anne Moen; Arriel Benis; Lars Lindsköld; Parisis Gallos. IOS Press, 2023. p. 1069-1070 (Studies in Health Technology and Informatics; Vol. 302).

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

TY - CHAP

T1 - Electromagnetic fields literature analysis for precision medicine

AU - Hawthorne, Christopher

AU - Harrison, Donal

AU - McEvoy, Eva

AU - Lopez Campos, Guillermo

PY - 2023/5/18

Y1 - 2023/5/18

N2 - During the last century technological advances have increased the number of anthropogenic electromagnetic fields (EMFs) and therefore human exposures. In this work we have mined from more than 30,000 EMF-related publications the genes, diseases and molecular mechanisms associated with the exposure to six different subsets of EMFs. Results show 3653 unique disease MeSH terms and 9966 unique genes identified of which only 4340 genes are human. Overall, our approach highlights the molecular aspects of the increasing exposure to EMFs.

AB - During the last century technological advances have increased the number of anthropogenic electromagnetic fields (EMFs) and therefore human exposures. In this work we have mined from more than 30,000 EMF-related publications the genes, diseases and molecular mechanisms associated with the exposure to six different subsets of EMFs. Results show 3653 unique disease MeSH terms and 9966 unique genes identified of which only 4340 genes are human. Overall, our approach highlights the molecular aspects of the increasing exposure to EMFs.

KW - Electromagnetic fields

KW - Bioinformatics

KW - Precision Medicine

KW - Humans

KW - Electromagnetic Fields

KW - Exposome

KW - text mining

KW - precision medicine

U2 - 10.3233/SHTI230349

DO - 10.3233/SHTI230349

M3 - Chapter (peer-reviewed)

C2 - 37203583

SN - 9781643683881

T3 - Studies in Health Technology and Informatics

SP - 1069

EP - 1070

BT - Caring is sharing - exploiting the value in data for health and innovation

A2 - Hägglund, Maria

A2 - Blusi, Madeleine

A2 - Bonacina, Stefano

A2 - Nilsson, Lina

A2 - Madsen, Inge Cort

A2 - Pelayo, Sylvia

A2 - Moen, Anne

A2 - Benis, Arriel

A2 - Lindsköld, Lars

A2 - Gallos, Parisis

PB - IOS Press

ER -

Hawthorne C, Harrison D, McEvoy E, Lopez Campos G. Electromagnetic fields literature analysis for precision medicine. In Hägglund M, Blusi M, Bonacina S, Nilsson L, Madsen IC, Pelayo S, Moen A, Benis A, Lindsköld L, Gallos P, editors, Caring is sharing - exploiting the value in data for health and innovation. IOS Press. 2023. p. 1069-1070. (Studies in Health Technology and Informatics). doi: 10.3233/SHTI230349

Electromagnetic fields literature analysis for precision medicine

Abstract

Publication series

UN SDGs

Keywords

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Student theses

Investigation and development of novel exposome informatics methodologies and solutions for the analysis and integration of phenome, genome and exposome data

Cite this