The dynamics of pharmacometrics to personalize the treatment of inborn bleeding disorders

M.E. Cloesmeijer

The dynamics of pharmacometrics to personalize the treatment of inborn bleeding disorders

M.E. Cloesmeijer

Research output: PhD Thesis › Phd-Thesis - Research and graduation internal

Abstract

The thesis explores how pharmacometric modelling can optimize and personalize therapies for bleeding disorders, such as hemophilia and von Willebrand disease (VWD). By combining pharmacokinetics, pharmacodynamics, and emerging tools like artificial intelligence (AI), this research aims to improve treatment precision and outcomes for patients

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	University of Amsterdam
Supervisors/Advisors	Mathot, Ron, Supervisor Cnossen, M., Supervisor, External person
Award date	18 Dec 2024
Publication status	Published - 2024

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https://hdl.handle.net/11245.1/44af3088-b273-406a-a03e-212a6cf7dc71

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title = "The dynamics of pharmacometrics to personalize the treatment of inborn bleeding disorders",

abstract = "The thesis explores how pharmacometric modelling can optimize and personalize therapies for bleeding disorders, such as hemophilia and von Willebrand disease (VWD). By combining pharmacokinetics, pharmacodynamics, and emerging tools like artificial intelligence (AI), this research aims to improve treatment precision and outcomes for patients",

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year = "2024",

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AU - Cloesmeijer, M.E.

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AB - The thesis explores how pharmacometric modelling can optimize and personalize therapies for bleeding disorders, such as hemophilia and von Willebrand disease (VWD). By combining pharmacokinetics, pharmacodynamics, and emerging tools like artificial intelligence (AI), this research aims to improve treatment precision and outcomes for patients

M3 - Phd-Thesis - Research and graduation internal

ER -

The dynamics of pharmacometrics to personalize the treatment of inborn bleeding disorders

Abstract

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