Research that advances women's health
Dama Health runs a research programme built around the question: why do two women respond completely differently to the same treatment? We study it through pharmacogenomics, biomarkers, and deep clinical phenotyping - and we make our expertise, findings, and team available to partners working in women's health research as well.
- 1,138
- women recruited in 2 months
- 600+
- whole genomes sequenced
- ARPA-H
- award
- 26
- side-effect phenotypes captured
Studying individual variability in treatment responses in women's health
Together with key opinion leaders and scientific experts like Dr Aaron Lazorwitz, we are conducting pioneering research into how genetics and pharmacogenetics influence hormone therapy and contraception metabolism - uncovering how individual biology drives variability in treatment response and side effects. Our phenotypic and genetic analyses produced significant associations with side-effect risk.
One of the richest multimodal datasets on hormonal treatment response
Most datasets in women's health have either genetics or good clinical phenotyping. Ours has both, linked at the individual level, with side effects captured at a level of granularity that doesn't exist elsewhere.
- Whole-genome sequencing on 600+ participants
- 26 discrete side-effect phenotypes across four contraceptive methods
- Medical history, lifestyle, and treatment history captured alongside
Contact us to explore opportunities for scientific collaboration
For partners who have the signal
Continuous hormone monitoring, wearables, and at-home diagnostics are generating an unprecedented amount of female physiological data. The clinical interpretation remains the hard part. What does this pattern mean for this woman, what should change in her care, and can you prove it made a difference? Dama Health supports with:
Clinical interpretation frameworks
Translating raw signal into clinically defensible statements about a patient's state.
Outcome study design
The study that shows your device or product actually changed something patients and payers care about.
Validation and evidence generation
Comparator design, endpoint selection, and analysis run by people who understand both the assay and the clinic.
Publication and dissemination
Peer-reviewed output your commercial team can point to.
Collaborators and consortia
From signal to clinical impact
Work with Dama's clinical and bioinformatics team in collaboration with researchers from Yale to design and run rigorous women's health studies.
Genetics and pharmacogenomics
Assay design, variant selection, and interpretation for hormone metabolism and treatment response.
Bioinformatics and data science
GWAS and candidate-gene analysis, multi-omics integration, and analytical pipelines.
Clinical interpretation
Translate findings into something usable at the point of care.
Study design and delivery
Protocol development, IRB and ethics submission, recruitment, longitudinal data capture, and analysis.
Grant partnership
We hold and co-hold competitive research funding, and we join consortia as the hormone science and PGx partner.