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Updated: Jan 18, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

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现成的大型语言模型用于指导药物流行病学研究设计.

Gerard Ompad1, Keele Wurst2, Darmendra Ramcharran3,4

  • 1Department of Drug Design and Pharmacology, University of Copenhagen, Copenhagen, Denmark.

Clinical pharmacology and therapeutics
|September 10, 2025
PubMed
概括

像ChatGPT和Gemini这样的大型语言模型在设计药物流行病学研究中显示出很高的连贯性,但由于可变的相关性和编码准确性,需要专家审查.

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Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

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Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
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Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
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