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a new dimension
in vascular health

Powered by humans, m-theory develops personalized AI-driven health metrics to continuously track blood flow dynamics in individuals with unique blood rheology. Learn how we're moving blood forward.

Explore our research

Our purpose-built algorithmic discovery engine precisely integrates an array of biological features that contribute to blood rheology.

  • Personal health and wellness
  • Physiology
  • Biochemistry
  • Genetic variants
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OUR FOCUS

complex biology
simple solutions

Blood is personal. It has a distinct type, flow, and behavior. That's why we're engineering personalized machine learning models to monitor vascular health in individuals with unique blood rheology.

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OUR APPROACH

we uncover signals
others may not see

Our proprietary algorithmic engine uses an R&D process defined by 3 distinct phases:

01

Mine

We understand the components of blood and what makes it unique to every person. We synthesize the right demographic and biological features from distinct physiological, biochemical, genetic, and personal health metrics.

02

Model

No two people have the same vascular biology. We train and validate distinct machine learning models using the most significant biological features and optimized parameters for people with unique blood rheology vs a general consumer population.

03

Measure

We believe monitoring vascular health is as personal as blood itself. Every person who meets predefined criteria for unique blood rheology can track their blood flow dynamics over time with a smart ring or smart watch using photoplethysmography (PPG) sensing.

LOOKING AHEAD

help us
move blood forward

Progress starts with collaboration. We welcome conversations with researchers and partners who share our passion for healthy blood.