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Cyclanabio

Cyclanabio develops physiological assays using menstrual fluid to study women's health conditions, particularly endometriosis. By creating tissue‑level models that better mimic human disease, they aim to stratify conditions, uncover disease mechanisms, and identify therapeutic targets for more effective treatments. Their interdisciplinary approach focuses on generating actionable health insights from human tissue data.

Cambridge133K+ followers
Updated 15 days ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Endometriosis and related women's health conditions are difficult to study because existing models rely on animal systems or limited tissue samples, which do not accurately reflect the human tissue microenvironment. This hampers the identification of disease-driving mechanisms and the development of effective therapies.

Solution

Cyclanabio creates physiological assay platforms that use menstrual fluid to reconstruct the tissue niche of endometriosis in vitro. By culturing cells and extracellular components derived from menstrual effluent, the assays capture the cellular diversity and signaling context of human lesions. Researchers can apply these models to stratify patient sub‑types, screen therapeutic candidates, and pinpoint molecular targets that drive disease progression. The approach enables more predictive pre‑clinical testing and accelerates the discovery of treatments tailored to women's health needs.

Target Audience

Primary customers are pharmaceutical and biotech companies, as well as academic research labs focused on women's health, endometriosis, and related reproductive disorders.

Features

  • Menstrual‑fluid‑derived 3D culture systems that preserve native cell types and extracellular matrix components of endometriotic tissue
  • High‑throughput assay formats compatible with phenotypic screening, omics profiling, and functional readouts
  • Patient‑specific modeling that allows stratification of disease sub‑types based on molecular signatures
  • Integrated data pipeline linking assay results to target identification and validation workflows
  • Scalable production of assay kits for use in academic, biotech, and pharmaceutical research settings
This profile is AI-generated and may contain inaccuracies.