Kamala Dadashova

College of Sciences

Works (2)

Updated: April 25th, 2025 19:09

2025 journal article

Bayesian inference informed by parameter subset selection for a minimal PBPK brain model

Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 383(2292), 20240219.

By: K. Dadashova n, R. Smith n , M. Haider n  & B. Reich n 

Contributors: K. Dadashova n, R. Smith n , M. Haider n  & B. Reich n 

author keywords: parameter subset selection; Bayesian inference; physiologically based pharmacokinetic modelling; parameter identifiability
MeSH headings : Bayes Theorem; Brain / metabolism; Humans; Models, Biological; Uncertainty; Pharmacokinetics; Animals; Computer Simulation
topics (OpenAlex): Statistical Methods in Clinical Trials; Statistical Methods and Bayesian Inference; Statistical Methods and Inference
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Sources: Web Of Science, NC State University Libraries, Crossref, NC State University Libraries, ORCID
Added: March 24, 2025

2024 journal article

Local Identifiability Analysis, Parameter Subset Selection and Verification for a Minimal Brain PBPK Model

Bulletin of Mathematical Biology, 86(2).

By: K. Dadashova n, R. Smith n  & M. Haider n 

author keywords: Parameter subset selection; Local sensitivity analysis; Identifiability; PBPK modeling; Energy statistics
MeSH headings : Computer Simulation; Models, Biological; Mathematical Concepts; Brain
topics (OpenAlex): Analytical Chemistry and Chromatography; Microfluidic and Capillary Electrophoresis Applications; Gene Regulatory Network Analysis
TL;DR: This work introduces the use of a local sensitivity-based parameter subset selection algorithm in the context of a minimal PBPK (mPBPK) model of the brain for antibody therapeutics to provide a systematic and robust technique to determine identifiable parameter subsets in a PBPK model across a specified time domain of interest. (via Semantic Scholar)
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Sources: Web Of Science, ORCID, NC State University Libraries, Crossref
Added: January 3, 2024

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