Treffer: Researchers at University of Montreal Detail Findings in Obesity, Fitness and Wellness (Generation of Virtual Populations for Quantitative Systems Pharmacology Through Advanced Sampling Methods).

The article discusses a study from the University of Montreal focused on improving the generation of virtual populations (Vpop) for quantitative systems pharmacology (QSP) through advanced sampling methods. The research evaluates the DREAM(ZS) algorithm, a multi-chain adaptive Markov chain Monte Carlo method, comparing its performance to the traditional Metropolis-Hastings algorithm in the context of cholesterol metabolism modeling. Findings indicate that DREAM(ZS) offers superior exploration of parameter spaces and better maintains parameter correlations, contributing to more efficient sampling methodologies for high-dimensional biological models. The study aims to enhance in silico trial simulations in pharmacology. [Extracted from the article]

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