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.
Search women's health research with more context
Most medical databases show you what was studied. FemHealth adds who was studied,
participant sex reporting, exclusions and provenance before you open the paper.
Built for students and researchers
- 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
See where evidence is missing
Women have historically been underrepresented in clinical trials. 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 the search results, not buried in the methods section.
Databases searched
PubMed, EuropePMC, OpenAlex, ClinicalTrials.gov by default, with bioRxiv, medRxiv, SciELO, WHO, CORE, OpenAIRE, Semantic Scholar, DHARA, AYUSH Portal, TCM, AJOL, IndMED, CAM-Quest behind explicit opt-in controls.
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