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Sensitivity analysis of HIV infection response to treatment
Samira Khalili
, Antonios Armaou
Chemical Engineering
Institute for Computational and Data Sciences (ICDS)
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
2
Scopus citations
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Dive into the research topics of 'Sensitivity analysis of HIV infection response to treatment'. Together they form a unique fingerprint.
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Keyphrases
Sensitivity Analysis
100%
HIV Infection
100%
Response to Treatment
100%
Infection Response
100%
Latency
33%
Treatment Strategy
33%
Stochastic Model
33%
Age of Infection
33%
Treatment Initiation
33%
Virus Genome
33%
Stochastic Simulation
33%
Viral Load
33%
Expected Behaviour
33%
Infection Dynamics
33%
Random Fluctuations
33%
Deterministic Model
33%
Viral Clearance
33%
Mathematics
Probability Theory
100%
Stochastics
50%
Stochastic Model
50%
Deterministic Model
50%
Gillespie Algorithm
50%
Treatment Strategy
50%
Random Fluctuation
50%
Immunology and Microbiology
Human Immunodeficiency Virus Infection
100%
Dynamics
66%
Virus Genome
33%
Viral Load
33%
Viral Clearance
33%
Biochemistry, Genetics and Molecular Biology
Human Immunodeficiency Virus
100%
Dynamics
66%
Virus Genome
33%
Virus Load
33%
Viral Clearance
33%
Engineering
Random Fluctuation
100%