How FemHealth Works

Medical research has a women's health gap. Most search tools hide it. Decades of clinical trials routinely excluded women - citing hormonal variability, pregnancy risk, or simply convention. The studies still exist. They're still cited. But when you search PubMed today, there's nothing to tell you that the evidence base for a treatment was built almost entirely on male participants.

Four Principles Applied to Every Result

• Transparency first - We don't change the underlying research. We add the context that should have been visible all along.
• Participant visibility - Participant sex reporting and sample size shown in every result card, with provenance.
• Exclusion flagging - When studies excluded pregnant women, older women, or menstruating participants, we flag it.
• Quality signals - Study type, peer review status, citations, and recency displayed alongside every paper.

What You See

Every search result includes the paper title and authors, participant sex reporting, cohort composition when found, detected exclusions, provenance, open-access status, citation count, and a direct link to the source record.

Who It's For

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

Databases Searched

FemHealth searches 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. Results are deduplicated and ranked by relevance.