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Personalized medicine: risk prediction, targeted therapies and mobile health technology

Personalized medicine is increasingly being employed across many areas of clinical practice, as genes associated with specific diseases are discovered and targeted therapies are developed. Mobile apps are also beginning to be used in medicine with the aim of providing a personalized approach to dise...

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Detalles Bibliográficos
Autores principales: Hayes, Daniel F, Markus, Hugh S, Leslie, R David, Topol, Eric J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3938085/
https://www.ncbi.nlm.nih.gov/pubmed/24580858
http://dx.doi.org/10.1186/1741-7015-12-37
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author Hayes, Daniel F
Markus, Hugh S
Leslie, R David
Topol, Eric J
author_facet Hayes, Daniel F
Markus, Hugh S
Leslie, R David
Topol, Eric J
author_sort Hayes, Daniel F
collection PubMed
description Personalized medicine is increasingly being employed across many areas of clinical practice, as genes associated with specific diseases are discovered and targeted therapies are developed. Mobile apps are also beginning to be used in medicine with the aim of providing a personalized approach to disease management. In some areas of medicine, patient-tailored risk prediction and treatment are applied routinely in the clinic, whereas in other fields, more work is required to translate scientific advances into individualized treatment. In this forum article, we asked specialists in oncology, neurology, endocrinology and mobile health technology to discuss where we are in terms of personalized medicine, and address their visions for the future and the challenges that remain in their respective fields.
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spelling pubmed-39380852014-03-01 Personalized medicine: risk prediction, targeted therapies and mobile health technology Hayes, Daniel F Markus, Hugh S Leslie, R David Topol, Eric J BMC Med Forum Personalized medicine is increasingly being employed across many areas of clinical practice, as genes associated with specific diseases are discovered and targeted therapies are developed. Mobile apps are also beginning to be used in medicine with the aim of providing a personalized approach to disease management. In some areas of medicine, patient-tailored risk prediction and treatment are applied routinely in the clinic, whereas in other fields, more work is required to translate scientific advances into individualized treatment. In this forum article, we asked specialists in oncology, neurology, endocrinology and mobile health technology to discuss where we are in terms of personalized medicine, and address their visions for the future and the challenges that remain in their respective fields. BioMed Central 2014-02-28 /pmc/articles/PMC3938085/ /pubmed/24580858 http://dx.doi.org/10.1186/1741-7015-12-37 Text en Copyright © 2014 Hayes et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. 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 Forum
Hayes, Daniel F
Markus, Hugh S
Leslie, R David
Topol, Eric J
Personalized medicine: risk prediction, targeted therapies and mobile health technology
title Personalized medicine: risk prediction, targeted therapies and mobile health technology
title_full Personalized medicine: risk prediction, targeted therapies and mobile health technology
title_fullStr Personalized medicine: risk prediction, targeted therapies and mobile health technology
title_full_unstemmed Personalized medicine: risk prediction, targeted therapies and mobile health technology
title_short Personalized medicine: risk prediction, targeted therapies and mobile health technology
title_sort personalized medicine: risk prediction, targeted therapies and mobile health technology
topic Forum
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3938085/
https://www.ncbi.nlm.nih.gov/pubmed/24580858
http://dx.doi.org/10.1186/1741-7015-12-37
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