See who was studied | FemHealth.science

A sex-representation evidence layer over live biomedical literature. See participant sex reporting, cohort composition, exclusions and provenance in every search result.

A sex-representation evidence layer over biomedical literature

Most medical databases show you what was studied. FemHealth adds who was studied, what was reported and where each signal came from before you open the paper.

Who uses FemHealth

• Students - faster literature reviews, visible sex-representation gaps, stronger dissertations
• Researchers - participant balance data, bias signals, exclusion pattern detection
• Clinicians - understand whether evidence applies to the patients in your practice
• Journalists & policy professionals - evidence-based picture of where the data gap is widest

Sources searched

4 default sources: PubMed, EuropePMC, OpenAlex, ClinicalTrials.gov. 13 opt-in sources: bioRxiv, medRxiv, SciELO, WHO, CORE, OpenAIRE, Semantic Scholar, DHARA, AYUSH Portal, TCM, AJOL, IndMED, CAM-Quest.

The sex-representation gap in evidence is measurable

Women have been systematically excluded from clinical research for decades. When a study has 12 women and 800 men, FemHealth flags it. When pregnant women are excluded, FemHealth flags it. You get this signal in search results, not buried in the methods section.

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