Building the research infrastructure for the next era of women’s health

Tia recently announced a partnership with Oura to bring new forms of longitudinal health data into women’s clinical care and research. For us, this partnership marks the beginning of a broader investment in women’s health research.

We are building a clinical research platform that connects information generated across a woman’s life, studies what those combined signals can tell us about her health and turns those findings into better care.

The missing piece is connection

Women’s health remains significantly under-researched. A 2024 National Academies analysis found that women’s health research accounted for an average of just 8.8% of NIH spending from 2013 to 2023.

At the same time, researchers have learned much more about how a woman’s health evolves across her lifetime. Health events once viewed as separate often carry information about what comes next. Pregnancy complications can signal greater cardiovascular risk years later. PMOS is associated with higher long-term cardiometabolic risk. The transition into menopause can affect cardiovascular, metabolic and brain health.

Much of that knowledge still fails to follow women from one clinician, life stage or health system to the next. A pregnancy complication documented decades ago may never become part of a woman’s cardiovascular risk assessment. Changes in sleep, heart rate or temperature may appear in a wearable app but remain disconnected from her symptoms, labs and reproductive history.

Women’s health has a research gap and a translation gap. Closing them requires better ways to connect information and put it to use.

From scattered signals to better care

Tia brings primary care, gynecology, mental health and specialty care together in one model. This gives us a longitudinal view of symptoms, diagnoses, labs, medications, reproductive history, treatments and outcomes.

With patient consent and appropriate research oversight, partners can add other perspectives to that clinical picture. Wearables, diagnostics, genomics and patient-reported measures can capture changes that an occasional office visit may miss.

The opportunity comes from studying these signals together and over time. Machine learning and other computational methods can help researchers find associations, examine disease trajectories and identify potential risk patterns across complex datasets. Those patterns still require rigorous study and clinical validation before they can guide care.

Because Tia conducts research within a care delivery setting, findings can move through a continuous cycle: from data to research questions, from research questions to clinical studies, and from clinical studies to interventions whose outcomes can be measured over time. This creates a path toward earlier and more precise prevention.

What Oura adds

For patients who choose to participate and share their data, Oura can add continuous physiological and behavioral signals that rarely appear in a traditional medical record. These include sleep, activity, heart rate, heart rate variability and temperature trends.

Research using Oura data has found measurable changes in finger temperature and heart rate across the menstrual cycle, including among young and midlife women. Pairing continuous signals like these with symptoms, reproductive stage, labs, diagnoses and clinical outcomes allows researchers to ask questions that each source could never answer alone.

Which changes reflect a meaningful shift in a woman’s health? Which signals are relevant at different stages of life? Which patterns warrant closer attention from a clinician? What action should follow?

These are the questions Tia and Oura can begin to study together.

Research designed to reach clinical care

No single company or dataset holds a complete picture of a woman’s health. Tia is bringing together researchers, academic institutions, health systems, life sciences companies and technology partners with different data, expertise and ways of measuring health.

Each partner adds another perspective. Each year of longitudinal care adds information about how women’s health changes and how interventions perform. Together, those inputs can support a deeper understanding of women’s health across a lifetime.

Tia’s research platform is grounded in women’s lived experience and longitudinal clinical care. That foundation gives us the ability to translate findings into clinical protocols, test them in real-world care and measure their impact over time.

What we are committing to

Tia will work with partners to design rigorous studies, publish and share what we learn, translate strong findings into clinical protocols and evaluate how those approaches perform across different populations.

Voluntary participation, informed consent, privacy protections, representative research and clinical validation will guide this work. Any new signal or model-generated finding will need evidence showing that it is accurate, useful and appropriate for the women it is intended to serve before it informs care.

In the months ahead, we will announce additional partners and research questions and begin sharing findings as the work progresses.

Oura is the first partnership in this broader effort. Our mandate is simple: connect the information women’s health has kept apart, study it responsibly and put what we learn to work in care.