A physiology-aware approach to cardiovascular early detection.
Hi-Re is building around the idea that better cardiovascular screening will come from combining wearable sensing, domain knowledge, and physics-informed computation.
Why physics-informed methods
By modeling the heart as a dynamic, living system, Hi-Re detects when cardiovascular function departs from a stable physical state. This approach provides highly interpretable safety logic, requires significantly less training data, and enables efficient, real-time processing directly on the edge without relying on constant cloud connectivity.
From signal to screening insight
The goal is not simply to generate data, but to detect early disruptions in the heart's natural rhythm by extracting novel biomarkers. By tracking the Energy Index of stable physiological states, and detecting shifts in Complexity Score during metabolic deviation, we turn raw signals into early indicators that support meaningful screening.
Signal Capture
Wearables create the chance to observe cardiovascular behavior more often and in more realistic settings.
Model Development
Modeling work is intended to reflect cardiovascular dynamics rather than relying only on black-box prediction.
Interpretability
Interpretable outputs matter when moving from research to practical clinical or screening workflows.
Clinical Relevance
The scientific direction is tied to earlier detection, better triage, and more useful screening decisions.