Kamala Dadashova

College of Sciences

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
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)
UN Sustainable Development Goal Categories
3. Good Health and Well-being (OpenAlex)
Sources: Web Of Science, ORCID, NC State University Libraries
Added: January 3, 2024

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