Fast simulation of pharmacokinetics

Ylva Wahlquist; Fredrik Bagge Carlson; Kristian Soltesz

doi:10.1016/j.ifacol.2023.10.1425

Fast simulation of pharmacokinetics

Ylva Wahlquist, Fredrik Bagge Carlson, Kristian Soltesz

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Research output: Contribution to journal › Article › peer-review

Abstract

Fast simulation of linear time-invariant (LTI) pharmacokinetic (PK) models is crucial to mixed-effect modeling techniques, used extensively in pharmacological research and development. The by far most common LTI PK models are particularly structured compartmental systems with one, two or three compartments. Here we develop and demonstrate very efficient, and down to machine precision exact, simulators for those structures. Our proposed method is benchmarked against state-of-the art software for simulation of linear systems, using a clinically relevant data set.

Original language	English
Pages (from-to)	2995-3000
Journal	IFAC Proceedings Volumes (IFAC-PapersOnline)
Volume	56
Issue number	2
DOIs	https://doi.org/10.1016/j.ifacol.2023.10.1425
Publication status	Published - 2023
Event	22nd IFAC World Congress - Yokohama, Japan Duration: 2023 Jul 9 → 2023 Jul 14 https://www.ifac2023.org

Subject classification (UKÄ)

Control Engineering
Pharmacology and Toxicology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.ifacol.2023.10.1425

Cite this

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title = "Fast simulation of pharmacokinetics",

abstract = "Fast simulation of linear time-invariant (LTI) pharmacokinetic (PK) models is crucial to mixed-effect modeling techniques, used extensively in pharmacological research and development. The by far most common LTI PK models are particularly structured compartmental systems with one, two or three compartments. Here we develop and demonstrate very efficient, and down to machine precision exact, simulators for those structures. Our proposed method is benchmarked against state-of-the art software for simulation of linear systems, using a clinically relevant data set.",

author = "Ylva Wahlquist and {Bagge Carlson}, Fredrik and Kristian Soltesz",

year = "2023",

doi = "10.1016/j.ifacol.2023.10.1425",

language = "English",

volume = "56",

pages = "2995--3000",

journal = "IFAC Proceedings Volumes (IFAC-PapersOnline)",

issn = "2405-8963",

publisher = "IFAC Secretariat",

number = "2",

note = "22nd IFAC World Congress ; Conference date: 09-07-2023 Through 14-07-2023",

url = "https://www.ifac2023.org",

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TY - JOUR

T1 - Fast simulation of pharmacokinetics

AU - Wahlquist, Ylva

AU - Bagge Carlson, Fredrik

AU - Soltesz, Kristian

PY - 2023

Y1 - 2023

N2 - Fast simulation of linear time-invariant (LTI) pharmacokinetic (PK) models is crucial to mixed-effect modeling techniques, used extensively in pharmacological research and development. The by far most common LTI PK models are particularly structured compartmental systems with one, two or three compartments. Here we develop and demonstrate very efficient, and down to machine precision exact, simulators for those structures. Our proposed method is benchmarked against state-of-the art software for simulation of linear systems, using a clinically relevant data set.

AB - Fast simulation of linear time-invariant (LTI) pharmacokinetic (PK) models is crucial to mixed-effect modeling techniques, used extensively in pharmacological research and development. The by far most common LTI PK models are particularly structured compartmental systems with one, two or three compartments. Here we develop and demonstrate very efficient, and down to machine precision exact, simulators for those structures. Our proposed method is benchmarked against state-of-the art software for simulation of linear systems, using a clinically relevant data set.

U2 - 10.1016/j.ifacol.2023.10.1425

DO - 10.1016/j.ifacol.2023.10.1425

M3 - Article

SN - 2405-8963

VL - 56

SP - 2995

EP - 3000

JO - IFAC Proceedings Volumes (IFAC-PapersOnline)

JF - IFAC Proceedings Volumes (IFAC-PapersOnline)

IS - 2

T2 - 22nd IFAC World Congress

Y2 - 9 July 2023 through 14 July 2023

ER -

Fast simulation of pharmacokinetics

Abstract

Subject classification (UKÄ)

UN SDGs

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Fingerprint

Learning pharmacometric model structures from data

Cite this

Fast simulation of pharmacokinetics

Abstract

Subject classification (UKÄ)

UN SDGs

Access to Document

Other files and links

Fingerprint

Projects

Learning pharmacometric model structures from data

Cite this