For Researchers

Accelerate scientific breakthroughs with wearable health data.

Gather health metrics from the Apple Watch—from step counts to sleep data—to power clinical research and new discoveries.

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Amissa Health Tackles Your Top Research Pain Points

We empower researchers with high-quality wearable data, effortless participant engagement, and scalable tools—so you can focus on discovery, not data hurdles.

Close Data Collection Gaps

Capture real-time biomarker data for a more complete picture of participant health over time—without relying on memory or manual tracking.

Reduce Participant Burden

Forget recall bias and spotty journal entries. Automate data capture for cleaner inputs and better long-term engagement.

Increase Study Participation

Reach more participants and minimize drop-off by reducing the need for in-person visits and making the study experience effortless.

Customize for Your Protocol

Tailor symptom sets, tracking frequency, and reminders to match your research design, from short pilots to long-term studies.

Close Data Collection Gaps

Capture real-time biomarker data for a more complete picture of participant health over time—without relying on memory or manual tracking.

Reduce Participant Burden

Forget recall bias and spotty journal entries. Automate data capture for cleaner inputs and better long-term engagement.

Increase Study Participation

Reach more participants and minimize drop-off by reducing the need for in-person visits and making the study experience effortless.

Customize for Your Protocol

Tailor symptom sets, tracking frequency, and reminders to match your research design, from short pilots to long-term studies.

Proven Impact in Age-Related Research

Backed by the NIH

Amissa Health has supported aging and Alzheimer’s research for over five years. In partnership with Washington University’s DRIVES Project, we secured a $505K NIH grant to help predict Alzheimer’s risk using Apple Watch biometrics and driving behavior.

This work helps:

Advance Early Detection

Apply machine learning to detect patterns linked to Alzheimer’s risk and other neurodegenerative conditions.

Build a Biometric Data Library

Create a centralized, research-ready dataset of longitudinal biometric and behavioral signals.

Improve Research Equity

Reduce in-person requirements and expand access to underrepresented participants through passive, real-world data collection.

See the NIH study

Woman wearing apple watch, writing notes

Built for Research — Ready for What’s Next

Amissa helps research teams onboard participants, capture health data, and track study progress — all in one platform.

What You Can Do with Amissa

Onboard Participants in Minutes

Invite and enroll participants with a simple, mobile-first experience that syncs directly with Apple Watch.

Customize Study Criteria

Select symptoms and biometric signals to track. Set reminder frequency and duration to match your protocol.

Track Participation and Adherence

Monitor engagement trends and easily spot drop-off patterns across cohorts.

Export Clean, Structured Data

Download de-identified datasets aligned with NIH and IRB requirements — ready for analysis or publication.

Used by top clinics and researchers across the country

"Amissa’s platform enabled us to scale digital phenotyping across 3x more participants while maintaining clinical-grade data quality."

Dr. Ganesh Babulal

Washington University in St. Louis

Ready to jumpstart your research with Apple Watch data?

Contact our team to see how Amissa supports research from recruitment to results.