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Digital twins to personalize medicine
Personalized medicine requires the integration and processing of vast amounts of data. Here, we propose a solution to this challenge that is based on constructing Digital Twins. These are high-resolution models of individual patients that are computationally treated with thousands of drugs to find t...
| Autores principales: | , , , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6938608/ https://www.ncbi.nlm.nih.gov/pubmed/31892363 http://dx.doi.org/10.1186/s13073-019-0701-3 |
| _version_ | 1783484065885716480 |
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| author | Björnsson, Bergthor Borrebaeck, Carl Elander, Nils Gasslander, Thomas Gawel, Danuta R. Gustafsson, Mika Jörnsten, Rebecka Lee, Eun Jung Li, Xinxiu Lilja, Sandra Martínez-Enguita, David Matussek, Andreas Sandström, Per Schäfer, Samuel Stenmarker, Margaretha Sun, X. F. Sysoev, Oleg Zhang, Huan Benson, Mikael |
| author_facet | Björnsson, Bergthor Borrebaeck, Carl Elander, Nils Gasslander, Thomas Gawel, Danuta R. Gustafsson, Mika Jörnsten, Rebecka Lee, Eun Jung Li, Xinxiu Lilja, Sandra Martínez-Enguita, David Matussek, Andreas Sandström, Per Schäfer, Samuel Stenmarker, Margaretha Sun, X. F. Sysoev, Oleg Zhang, Huan Benson, Mikael |
| author_sort | Björnsson, Bergthor |
| collection | PubMed |
| description | Personalized medicine requires the integration and processing of vast amounts of data. Here, we propose a solution to this challenge that is based on constructing Digital Twins. These are high-resolution models of individual patients that are computationally treated with thousands of drugs to find the drug that is optimal for the patient. |
| format | Online Article Text |
| id | pubmed-6938608 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2019 |
| publisher | BioMed Central |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-69386082020-01-06 Digital twins to personalize medicine Björnsson, Bergthor Borrebaeck, Carl Elander, Nils Gasslander, Thomas Gawel, Danuta R. Gustafsson, Mika Jörnsten, Rebecka Lee, Eun Jung Li, Xinxiu Lilja, Sandra Martínez-Enguita, David Matussek, Andreas Sandström, Per Schäfer, Samuel Stenmarker, Margaretha Sun, X. F. Sysoev, Oleg Zhang, Huan Benson, Mikael Genome Med Comment Personalized medicine requires the integration and processing of vast amounts of data. Here, we propose a solution to this challenge that is based on constructing Digital Twins. These are high-resolution models of individual patients that are computationally treated with thousands of drugs to find the drug that is optimal for the patient. BioMed Central 2019-12-31 /pmc/articles/PMC6938608/ /pubmed/31892363 http://dx.doi.org/10.1186/s13073-019-0701-3 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 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 | Comment Björnsson, Bergthor Borrebaeck, Carl Elander, Nils Gasslander, Thomas Gawel, Danuta R. Gustafsson, Mika Jörnsten, Rebecka Lee, Eun Jung Li, Xinxiu Lilja, Sandra Martínez-Enguita, David Matussek, Andreas Sandström, Per Schäfer, Samuel Stenmarker, Margaretha Sun, X. F. Sysoev, Oleg Zhang, Huan Benson, Mikael Digital twins to personalize medicine |
| title | Digital twins to personalize medicine |
| title_full | Digital twins to personalize medicine |
| title_fullStr | Digital twins to personalize medicine |
| title_full_unstemmed | Digital twins to personalize medicine |
| title_short | Digital twins to personalize medicine |
| title_sort | digital twins to personalize medicine |
| topic | Comment |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6938608/ https://www.ncbi.nlm.nih.gov/pubmed/31892363 http://dx.doi.org/10.1186/s13073-019-0701-3 |
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