Cargando…
How to predict relapse in leukemia using time series data: A comparative in silico study
Risk stratification and treatment decisions for leukemia patients are regularly based on clinical markers determined at diagnosis, while measurements on system dynamics are often neglected. However, there is increasing evidence that linking quantitative time-course information to disease outcomes ca...
Autores principales: | Hoffmann, Helene, Baldow, Christoph, Zerjatke, Thomas, Gottschalk, Andrea, Wagner, Sebastian, Karg, Elena, Niehaus, Sebastian, Roeder, Ingo, Glauche, Ingmar, Scherf, Nico |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8592437/ https://www.ncbi.nlm.nih.gov/pubmed/34780493 http://dx.doi.org/10.1371/journal.pone.0256585 |
Ejemplares similares
-
Modelling of immune response in chronic myeloid leukemia patients suggests potential for treatment reduction prior to cessation
por: Karg, Elena, et al.
Publicado: (2022) -
Data integration between clinical research and patient care: A framework for context-depending data sharing and in silico predictions
por: Hoffmann, Katja, et al.
Publicado: (2023) -
PB1979: DATA INTEGRATION BETWEEN CLINICAL RESEARCH AND PATIENT CARE: A FRAMEWORK FOR CONTEXT-DEPENDING DATA SHARING AND IN SILICO PREDICTIONS
por: Hoffmann, Katja, et al.
Publicado: (2023) -
Reduced tyrosine kinase inhibitor dose is predicted to be as effective as standard dose in chronic myeloid leukemia: a simulation study based on phase III trial data
por: Fassoni, Artur C., et al.
Publicado: (2018) -
MAGPIE: Simplifying access and execution of computational models in the life sciences
por: Baldow, Christoph, et al.
Publicado: (2017)