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Machine learning closes research gaps in drug safety during pregnancy, research shows

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A report in the Journal of Medical Internet Research shows developments in the evidence gap in drug safety during pregnancy in its News and Perspectives section. In “How Machine Learning Can Help Close Evidence Gaps for Drug Safety in Pregnant Women”, health writer Michelle Falci interviews the principal investigators of two projects which use machine learning to analyze large datasets of medication exposure and outcomes, then identify and evaluate possible links.

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