How mechanistic in silico modelling can improve our understanding of TB disease and treatment.
Int J Tuberc Lung Dis
; 24(11): 1145-1150, 2020 11 01.
Article
em En
| MEDLINE
| ID: mdl-33172521
ABSTRACT
TB is one of the top 10 causes of death worldwide and the leading cause of death from a single infectious agent. Decreasing the length of time for TB treatment is an important step towards the goal of reducing mortality. Mechanistic in silico modelling can provide us with the tools to explore gaps in our knowledge, with the opportunity to model the complicated within-host dynamics of the infection, and simulate new treatment strategies. Significant insight has been gained using this form of modelling when applied to other diseases - much can be learned in infection research from these advances.
Texto completo:
1
Coleções:
01-internacional
Contexto em Saúde:
2_ODS3
/
3_ND
/
4_TD
Base de dados:
MEDLINE
Assunto principal:
Tuberculose
Limite:
Humans
Idioma:
En
Revista:
Int J Tuberc Lung Dis
Ano de publicação:
2020
Tipo de documento:
Article