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.
Validated by decades of cardiac research, Bardel built the platform that finally reads the signal in real time, for any treatment.
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.
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.
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.
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.
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.
Same average. Same peaks. A complex, adaptive rhythm, the signature of a body that is responding.
Same average. Same peaks. A rigid, repetitive rhythm, the signature of a body that is not.
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.
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.
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.
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.
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.
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 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.
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.
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.
See how Trak+ turns decades of research into an objective treatment-response read, or start a conversation about building it into your world.