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Rapid phenotyping towards personalized malaria medicine
Malaria is major public health concerns which continues to claim the lives of more than 435,000 people each year. The challenges with anti-malarial drug resistance and detection of low parasitaemia forms an immediate barrier to achieve the fast-approaching United Nations Sustainable Development Goal...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014641/ https://www.ncbi.nlm.nih.gov/pubmed/32046739 http://dx.doi.org/10.1186/s12936-020-3149-4 |
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author | Veiga, Maria Isabel Peng, Weng Kung |
author_facet | Veiga, Maria Isabel Peng, Weng Kung |
author_sort | Veiga, Maria Isabel |
collection | PubMed |
description | Malaria is major public health concerns which continues to claim the lives of more than 435,000 people each year. The challenges with anti-malarial drug resistance and detection of low parasitaemia forms an immediate barrier to achieve the fast-approaching United Nations Sustainable Development Goals of ending malaria epidemics by 2030. In this Opinion article, focusing on the recent published technologies, in particularly the nuclear magnetic resonance (NMR)-based diagnostic technologies, the authors offer their perspectives and highlight ways to bring these point-of-care technologies towards personalized medicine. To this end, they advocate an open sourcing initiative to rapidly close the gap between technological innovations and field implementation. |
format | Online Article Text |
id | pubmed-7014641 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-70146412020-02-18 Rapid phenotyping towards personalized malaria medicine Veiga, Maria Isabel Peng, Weng Kung Malar J Opinion Malaria is major public health concerns which continues to claim the lives of more than 435,000 people each year. The challenges with anti-malarial drug resistance and detection of low parasitaemia forms an immediate barrier to achieve the fast-approaching United Nations Sustainable Development Goals of ending malaria epidemics by 2030. In this Opinion article, focusing on the recent published technologies, in particularly the nuclear magnetic resonance (NMR)-based diagnostic technologies, the authors offer their perspectives and highlight ways to bring these point-of-care technologies towards personalized medicine. To this end, they advocate an open sourcing initiative to rapidly close the gap between technological innovations and field implementation. BioMed Central 2020-02-11 /pmc/articles/PMC7014641/ /pubmed/32046739 http://dx.doi.org/10.1186/s12936-020-3149-4 Text en © The Author(s) 2020 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Opinion Veiga, Maria Isabel Peng, Weng Kung Rapid phenotyping towards personalized malaria medicine |
title | Rapid phenotyping towards personalized malaria medicine |
title_full | Rapid phenotyping towards personalized malaria medicine |
title_fullStr | Rapid phenotyping towards personalized malaria medicine |
title_full_unstemmed | Rapid phenotyping towards personalized malaria medicine |
title_short | Rapid phenotyping towards personalized malaria medicine |
title_sort | rapid phenotyping towards personalized malaria medicine |
topic | Opinion |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7014641/ https://www.ncbi.nlm.nih.gov/pubmed/32046739 http://dx.doi.org/10.1186/s12936-020-3149-4 |
work_keys_str_mv | AT veigamariaisabel rapidphenotypingtowardspersonalizedmalariamedicine AT pengwengkung rapidphenotypingtowardspersonalizedmalariamedicine |