The science

The signal is settled science. The infrastructure was missing.

Validated by decades of cardiac research, Bardel built the platform that finally reads the signal in real time, for any treatment.

Built on evidence, not invention

Bardel did not invent the signal. We built the platform that finally reads it.

The relationship between the body's response and how a patient is actually doing has been studied for decades, across thousands of patients, in journals that set the standard for the field. The science was settled. What was missing was a way to capture it continuously, in the real world, for any treatment.

Researchers in a cleanroom reading data from a measurement instrument, the kind of cardiac research that underpins the science behind Bardel.
0 years of cardiac response research settled the signal
0 min single recording produces each patient's phenotype
0+ therapeutic sessions captured as of 2026
0 states with devices live in the field
The idea, in one paragraph

It is not how big the signal is. It is how the signal is organized.

Most monitoring looks at how big a signal is. We look at how it is organized. Two patients can have the same heart rate and be in completely different states of recovery. The organization of the signal, not its size, is what reveals whether a treatment is working. Decades of cardiac research established that this structure carries the answer. Bardel built the platform that reads it in real time.
Why the structure matters

Same numbers. Different patient. Only one read tells you the truth.

Conventional monitoring reports the volume of a signal, the average, the peak, the count. That misses the part that moves first when a treatment starts working. Bardel reads the structure underneath.

What others read

The volume of the signal

Averages and peaks. Useful for emergencies, blind to recovery. Two patients can post identical readings while one is responding to treatment and the other is not. The summary number alone cannot tell them apart.

What Bardel reads

The structure of the signal

The organization underneath the numbers, the pattern that shifts as the body responds. This is the part decades of cardiac research connected to how a patient is actually doing, and the part no one was capturing continuously until now.

Patient A · responding

Same average. Same peaks. A complex, adaptive rhythm, the signature of a body that is responding.

One summary number

Patient B · not responding

Same average. Same peaks. A rigid, repetitive rhythm, the signature of a body that is not.

Identical average. Identical peaks. A summary number cannot tell these two patients apart. The organization of the rhythm can.
What we measure

A complete picture of how the body is responding.

Bardel reads the physiological signal others miss and turns it into an objective measure of how a treatment is actually landing, between visits, not just whether it was taken.

Objective treatment-response measurement for any intervention, dose by dose.

The autonomic phenotype, the body's own report on how it is responding.

The physiological signal others miss, captured continuously in the real world.

Clinical decision support that informs clinicians, never a diagnosis on its own.

The old way · a 0-10 guess
The Bardel way · an objective signal
How big the signal is versus how it is organized. Bardel reads the structure others summarize away.
How the science works

Three phases turn one short recording into a compounding clinical asset.

Each capture deepens the next read. The first recording sets a baseline, the system matches the patient to the therapy their body is most likely to respond to, and every reading extends a living trajectory no competitor can recreate.

Phase 1 · Capture the baseline

Every patient gets a phenotype from one short recording.

A single short capture reads the patient's autonomic phenotype. Each new recording deepens a proprietary phenotype library, so the next read is sharper than the last.

Phase 2 · Match by physiology

Grouped by physiology, not by diagnosis code.

Patients cluster by how their bodies actually behave, then match to the therapy they are most likely to respond to. Response shows within days, ending blind dose escalation.

Physiology clusters Matched therapy & response
Phase 3 · Reveal the trajectory

A living trajectory predicts risk before symptoms.

Each recording extends a trajectory that signals risk and recovery ahead of symptoms. Across the population these trajectories compound into a benchmark no competitor can recreate.

Today Early signal Response Forecast
01 An objective response standard
02 Earlier non-responder capture
03 Phenotype-matched care
04 CMS-ready outcome data
05 A compounding clinical asset
Why now

The answer was in the research for decades. The way to read it in real time was not.

The discovery is not new. The platform is. For the first time, the signal that decades of cardiac research connected to recovery can be captured continuously, outside the lab, behind any treatment a patient is already receiving.

The science is settled

The link between the structure of the body's signal and how a patient is actually responding is established, replicated across thousands of patients and the journals that define the field.

The capture is new

What was missing was a way to read that signal continuously in the real world, from a phone camera, a watch, a chest strap, or a clinical monitor. Bardel built that layer.

It informs, it does not diagnose

Bardel gives clinicians an objective response read to act on. It supports the decision; the clinician makes it. That line is the design, not a limitation.

From settled science to standard of care

The science is done. The platform is here. The rest is adoption.

See how Trak+ turns decades of research into an objective treatment-response read, or start a conversation about building it into your world.