Where heart care meets heart science

Bringing a new dimension of data to solve problems and find solutions.

We believe that continuous learning can make the difference in how heart care can be administered.

So we’re integrating clinical research and data science. Every patient on our platform contributes their experience to a learning system. We then utilize a rigorous scientific approach to create predictive models.

Our goal: alert patients and their care teams in advance of a potential cardiac event. Then patients will be able get the care they need proactively to stay healthy, and care teams will be able to administer treatments to keep patients safe and out of the hospital.

Unmatched Experience

Turning Heart Monitoring into Clinical Insights

Time

4M+

Hours of On-body Patient Data

FDA

5

FDA-Cleared Biomarkers

Algorithms

40+

Proven Algorithms

Experience

30+

Years of experience in machine learning

Ongoing Research

Participate In A Wearable Fitness Monitor Study

Help advance healthcare and research tools using a wearable biosensor to monitor measures of cardiovascular fitness.

You may qualify for this study if your doctor has prescribed that you take a Cardiopulmonary Exercise Test (CPET) as part of your normal healthcare program.

What is this study about?

Researchers are developing a new mathematical method to estimate oxygen consumption from a small wearable biosensor that is usually only available from a CPET.

Why participate?

You can help develop new and accessible tools that may be used to help patients suffering with cardiac and pulmonary diseases.

You will be compensated for your participation.

Who can participate?

• Men and women undergoing the CPET as part of their usual healthcare

• Willing to wear a “band-aid like” biosensor patch for 7 days

The study is registered at clinicaltrials.gov, #NCT05678530.

Please contact your physician physiologist to learn more about this study.

Learn more here.

At Prolaio, we never stop learning. And we’ll never stop going.

Day by day.
Beat by beat.
Outcome by outcome.
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