将多样性、公平性和包容性融入临床前、临床和公共卫生数学模型中

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Justin Sheen, Lee Curtin, Stacey Finley, Anna Konstorum, Reginald McGee, Morgan Craig
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引用次数: 0

摘要

应用于临床前、临床和公共卫生研究的数学建模对于我们理解多种生物学原理至关重要。生物学从根本上说是异质的,数学建模必须直面变异性的挑战,以确保将多样性、公平性和包容性(DEI)原则纳入定量分析。在此,我们将对 2023 年数学生物学学会年会上举行的多样性、公平性和包容性(DEI)全会提供后续观点,以讨论在生物学数学建模中进一步整合多样性、公平性和包容性(DEI)的关键问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integrating Diversity, Equity, and Inclusion into Preclinical, Clinical, and Public Health Mathematical Models

Mathematical modelling applied to preclinical, clinical, and public health research is critical for our understanding of a multitude of biological principles. Biology is fundamentally heterogeneous, and mathematical modelling must meet the challenge of variability head on to ensure the principles of diversity, equity, and inclusion (DEI) are integrated into quantitative analyses. Here we provide a follow-up perspective on the DEI plenary session held at the 2023 Society for Mathematical Biology Annual Meeting to discuss key issues for the increased integration of DEI in mathematical modelling in biology.

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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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