Data-driven insights can transform women’s reproductive health

Author:

Oskotsky Tomiko T.,Yin Ophelia,Khan Umair,Arnaout Leen,Sirota Marina

Abstract

AbstractThis perspective explores the transformative potential of data-driven insights to understand and address women’s reproductive health conditions. Historically, clinical studies often excluded women, hindering comprehensive research into conditions such as adverse pregnancy outcomes and endometriosis. Recent advances in technology (e.g., next-generation sequencing techniques, electronic medical records (EMRs), computational power) provide unprecedented opportunities for research in women’s reproductive health. Studies of molecular data, including large-scale meta-analyses, provide valuable insights into conditions like preterm birth and preeclampsia. Moreover, EMRs and other clinical data sources enable researchers to study populations of individuals, uncovering trends and associations in women’s reproductive health conditions. Despite these advancements, challenges such as data completeness, accuracy, and representation persist. We emphasize the importance of holistic approaches, greater inclusion, and refining and expanding on how we leverage data and computational integrative approaches for discoveries so that we can benefit not only women’s reproductive health but overall human health.

Funder

Eunice Kennedy Shriver National Institute of Child Health and Human Development

March of Dimes Foundation

Publisher

Springer Science and Business Media LLC

Reference62 articles.

1. Institute of Medicine, Board on Population Health and Public Health Practice, & Committee on Women’s Health Research. Women’s Health Research: Progress, Pitfalls, and Promise (National Academies Press (US), Washington (DC), 2010).

2. Institute of Medicine (US) Committee on Understanding the Biology of Sex and Gender Differences. Exploring the Biological Contributions to Human Health: Does Sex Matter? (National Academies Press (US), Washington (DC), 2001).

3. Office of Research on Women’s Health. History of Women’s Participation in Clinical Research. https://orwh.od.nih.gov/toolkit/recruitment/history (2019).

4. Institute of Medicine (US) Committee on Women’s Health Research. Introduction. In Women’s Health Research: Progress, Pitfalls, and Promise. (ed. Grossblatt, N.) (National Academies Press (US), Washington, DC, 2010).

5. Smith, K. Women’s Health Research Lacks Funding—these Charts Show How. https://www.nature.com/immersive/d41586-023-01475-2/index.html (2023).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3