Cargando…
Verification of an agent‐based disease model of human Mycobacterium tuberculosis infection
Agent‐based models (ABMs) are a powerful class of computational models widely used to simulate complex phenomena in many different application areas. However, one of the most critical aspects, poorly investigated in the literature, regards an important step of the model credibility assessment: solut...
Autores principales: | Curreli, Cristina, Pappalardo, Francesco, Russo, Giulia, Pennisi, Marzio, Kiagias, Dimitrios, Juarez, Miguel, Viceconti, Marco |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8365724/ https://www.ncbi.nlm.nih.gov/pubmed/33899348 http://dx.doi.org/10.1002/cnm.3470 |
Ejemplares similares
-
Generation of digital patients for the simulation of tuberculosis with UISS-TB
por: Juárez, Miguel A., et al.
Publicado: (2020) -
Model verification tools: a computational framework for verification assessment of mechanistic agent-based models
por: Russo, Giulia, et al.
Publicado: (2022) -
A Credibility Assessment Plan for an In Silico Model that Predicts the Dose–Response Relationship of New Tuberculosis Treatments
por: Curreli, Cristina, et al.
Publicado: (2022) -
Bayesian Augmented Clinical Trials in TB Therapeutic Vaccination
por: Kiagias, Dimitrios, et al.
Publicado: (2021) -
Moving forward through the in silico modeling of tuberculosis: a further step with UISS-TB
por: Russo, Giulia, et al.
Publicado: (2020)