Cargando…
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: | 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: | |
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 |
Ejemplares similares
-
An algorithm-based meta-analysis of genome- and proteome-wide data identifies a combination of potential plasma biomarkers for colorectal cancer
por: Gawel, Danuta R., et al.
Publicado: (2019) -
In Situ Split of the Liver When Portal Venous Embolization Fails to Induce Hypertrophy: A Report of Two Cases
por: Björnsson, Bergthór, et al.
Publicado: (2013) -
A dynamic single cell-based framework for digital twins to prioritize disease genes and drug targets
por: Li, Xinxiu, et al.
Publicado: (2022) -
Laparoscopic versus open distal pancreatectomy (LAPOP): study protocol for a single center, nonblinded, randomized controlled trial
por: Björnsson, Bergthor, et al.
Publicado: (2019) -
NCAE: data-driven representations using a deep network-coherent DNA methylation autoencoder identify robust disease and risk factor signatures
por: Martínez-Enguita, David, et al.
Publicado: (2023)