FemHealth for Researchers
The sex-representation gap in evidence is measurable. Standard database search shows you what exists. FemHealth adds participant reporting, cohort composition, exclusions and provenance so you can assess who the evidence studied.
Every search result in FemHealth includes structured equity metadata that standard databases bury in abstracts - or don't surface at all:
Women have been systematically excluded from clinical research for decades - often due to concerns about hormonal variability, liability, or reproductive age. This exclusion is well-documented. What is less documented is how pervasive it still is across current literature, and how difficult it is to detect without reading full methods sections.
FemHealth surfaces these signals at result level, enabling rapid review of sex representation in the evidence base.
Published validation reports 92.2% precision and 78.1% recall for the sex-reported signal on a 149-abstract, single-annotator test set. The weaker sex-stratified signal is published too. When reporting is unclear, FemHealth shows that the signal was not found rather than guessing.
Defaults: PubMed (NCBI E-utilities), Europe PMC (EMBL-EBI), OpenAlex, ClinicalTrials.gov. Opt-in: bioRxiv and medRxiv preprints, SciELO, WHO, CORE, OpenAIRE, Semantic Scholar, and six traditional medicine corpora (DHARA/AYUSH, AJOL, IndMED, AYUSH Portal, TCM, CAM-Quest). Each returns 20 to 25 results per query; results are merged, deduplicated, and sorted by relevance.
Free during beta. No account required. Search now →