How Machine Learning Can Help Close Evidence Gaps for Drug Safety in Pregnant Women

Unlabelled: Women, especially pregnant women, have historically been excluded from clinical research. In this News and Perspectives article, JMIR Correspondent Michelle Falci reports on how advances in data analytics may help bridge evidence gaps.

Authors

Publication Details

Journal
Journal of Medical Internet Research
Published
2026-05-27
DOI
https://doi.org/10.2196/101042
Primary Topic
Pregnancy and Medication Impact
Type
article
Field-Weighted Citation Impact
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article

How Machine Learning Can Help Close Evidence Gaps for Drug Safety in Pregnant Women

Michelle Falci
Journal of Medical Internet Research
Pregnancy and Medication Impact
article

How Machine Learning Can Help Close Evidence Gaps for Drug Safety in Pregnant Women

Michelle Falci
article en

Abstract

Unlabelled: Women, especially pregnant women, have historically been excluded from clinical research. In this News and Perspectives article, JMIR Correspondent Michelle Falci reports on how advances in data analytics may help bridge evidence gaps.

Journal of Medical Internet ResearchVol. 28
Gender equality, Good health and well-being
Openalex Percentile: Top 6%
Pregnancy and Medication Impact
DOIOpen Access PDFOpenAlex
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