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...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
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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
Descripción
Sumario: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.

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