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“Right-to-Try” experimental drugs: an overview
The “Right-to-Try” experimental drugs act passed by Donald Trump in 2018 provides an opportunity of early access to experimental drugs for the treatment of life-threatening diseases and a potential boon to many young and under-capitalized biotechnology or pharmaceutical companies. The pros and cons...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7309195/ https://www.ncbi.nlm.nih.gov/pubmed/32576276 http://dx.doi.org/10.1186/s12967-020-02427-4 |
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author | Mahant, Vijay |
author_facet | Mahant, Vijay |
author_sort | Mahant, Vijay |
collection | PubMed |
description | The “Right-to-Try” experimental drugs act passed by Donald Trump in 2018 provides an opportunity of early access to experimental drugs for the treatment of life-threatening diseases and a potential boon to many young and under-capitalized biotechnology or pharmaceutical companies. The pros and cons of experimental drugs, including a number of “cutting edge” scientific, clinical, and a number of synergistic approaches such as artificial intelligence, machine learning, big data, data refineries, electronic health records, data driven clinical decisions and risk mitigation are reviewed. |
format | Online Article Text |
id | pubmed-7309195 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73091952020-06-23 “Right-to-Try” experimental drugs: an overview Mahant, Vijay J Transl Med Review The “Right-to-Try” experimental drugs act passed by Donald Trump in 2018 provides an opportunity of early access to experimental drugs for the treatment of life-threatening diseases and a potential boon to many young and under-capitalized biotechnology or pharmaceutical companies. The pros and cons of experimental drugs, including a number of “cutting edge” scientific, clinical, and a number of synergistic approaches such as artificial intelligence, machine learning, big data, data refineries, electronic health records, data driven clinical decisions and risk mitigation are reviewed. BioMed Central 2020-06-23 /pmc/articles/PMC7309195/ /pubmed/32576276 http://dx.doi.org/10.1186/s12967-020-02427-4 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 | Review Mahant, Vijay “Right-to-Try” experimental drugs: an overview |
title | “Right-to-Try” experimental drugs: an overview |
title_full | “Right-to-Try” experimental drugs: an overview |
title_fullStr | “Right-to-Try” experimental drugs: an overview |
title_full_unstemmed | “Right-to-Try” experimental drugs: an overview |
title_short | “Right-to-Try” experimental drugs: an overview |
title_sort | “right-to-try” experimental drugs: an overview |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7309195/ https://www.ncbi.nlm.nih.gov/pubmed/32576276 http://dx.doi.org/10.1186/s12967-020-02427-4 |
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