Mobile and pervasive computing technologies and the future of Alzheimer’s clinical trials

The rapid growth of mobile phones, automated speech recognizing personal assistants, and internet access among the elderly provides new opportunities for incorporating such technologies into clinical research and personalized medical care. Alzheimer’s disease is a good test case given the need for e...

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Detalles Bibliográficos
Autores principales: Doraiswamy, P. Murali, Narayan, Vaibhav A., Manji, Husseini K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Perspective
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550135/
https://www.ncbi.nlm.nih.gov/pubmed/31304287
http://dx.doi.org/10.1038/s41746-017-0008-y
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author Doraiswamy, P. Murali
Narayan, Vaibhav A.
Manji, Husseini K.
author_facet Doraiswamy, P. Murali
Narayan, Vaibhav A.
Manji, Husseini K.
author_sort Doraiswamy, P. Murali
collection PubMed
description The rapid growth of mobile phones, automated speech recognizing personal assistants, and internet access among the elderly provides new opportunities for incorporating such technologies into clinical research and personalized medical care. Alzheimer’s disease is a good test case given the need for early detection, the high rate of clinical trial failures, the need to more efficiently recruit patients for trials, and the need for sensitive and ecologically valid trial outcomes.
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spelling pubmed-65501352019-07-12 Mobile and pervasive computing technologies and the future of Alzheimer’s clinical trials Doraiswamy, P. Murali Narayan, Vaibhav A. Manji, Husseini K. NPJ Digit Med Perspective The rapid growth of mobile phones, automated speech recognizing personal assistants, and internet access among the elderly provides new opportunities for incorporating such technologies into clinical research and personalized medical care. Alzheimer’s disease is a good test case given the need for early detection, the high rate of clinical trial failures, the need to more efficiently recruit patients for trials, and the need for sensitive and ecologically valid trial outcomes. Nature Publishing Group UK 2018-01-25 /pmc/articles/PMC6550135/ /pubmed/31304287 http://dx.doi.org/10.1038/s41746-017-0008-y Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as 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 images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Perspective
Doraiswamy, P. Murali
Narayan, Vaibhav A.
Manji, Husseini K.
Mobile and pervasive computing technologies and the future of Alzheimer’s clinical trials
title Mobile and pervasive computing technologies and the future of Alzheimer’s clinical trials
title_full Mobile and pervasive computing technologies and the future of Alzheimer’s clinical trials
title_fullStr Mobile and pervasive computing technologies and the future of Alzheimer’s clinical trials
title_full_unstemmed Mobile and pervasive computing technologies and the future of Alzheimer’s clinical trials
title_short Mobile and pervasive computing technologies and the future of Alzheimer’s clinical trials
title_sort mobile and pervasive computing technologies and the future of alzheimer’s clinical trials
topic Perspective
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6550135/
https://www.ncbi.nlm.nih.gov/pubmed/31304287
http://dx.doi.org/10.1038/s41746-017-0008-y
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