Therapeutic Areas
That framework is built on equivalence modeling, linking clinic-based cardiac assessment with real-world functional capacity and activity so a single, interpretable concept can be tracked consistently from screening through database lock.
This matters most in conditions where progression unfolds between visits, like heart failure and cardiomyopathy, where episodic assessment alone can miss the window in which a treatment effect is detectable.
Measures Include
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ECG & heart rate dynamics (HRV, recovery)
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NT-proBNP & HS Troponin I/T
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Gait speed & 6MWT-equivalence modeling
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Activities of daily living (ADL) capacity
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Echocardiography-derived function metrics
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Patient-reported outcomes (KCCQ, MLHFQ, EQ-5D)
The model is also device-agnostic by design, so data stays harmonized across hardware generations and vendors as technology evolves over a multi-year trial.
Expand Access
Collect functional and physiologic data from participants without frequent access to cardiology specialists or imaging centers, improving representation across rural, underserved, and mobility-limited populations.
Reduce Patient Burden
Replace repeated clinic-based functional testing with structured at-home and ambulatory capture, easing the burden on symptomatic or lower-functioning participants.
Detect Events Earlier
Continuous physiologic and activity monitoring increases the chance of capturing disease events and progression between scheduled visits, not only at them.
Capture Real-World Variability
Frequent, longitudinal measurement reflects how cardiovascular status actually fluctuates day to day, rather than relying on a single point-in-time clinic reading.
Strengthen Statistical Power
Higher-quality, higher-frequency signal can reduce the sample size needed to detect a true treatment effect — lowering cost and timeline risk.
Purpose-Built for
Scientific Rigor
Koneksa’s cardiovascular models are grounded in disease-specific mechanistic frameworks and validated equivalence modeling between clinic-based and real-world assessment.
Key Features
Measurement Strategy Embedded
Pre-Protocol
Aligned to cardiovascular therapeutic objectives with risk reduction, functional improvement, and event detection pre protocol design.
Concept-Equivalent Frameworks
Linking clinic-based cardiac assessment with real-world functional capacity and activity on a single interpretable scale.
Multimodal Signal Integration
Digital cardiac physiology, laboratory biomarkers, imaging, and patient-reported symptom and function measures combined into one evidence strategy.
Device-Agnostic
Data Harmonization
Consistent longitudinal analysis regardless of hardware vendor or generation.
Composite & Longitudinal Modeling
Repeated-measures and composite event frameworks built to detect progression and outcomes over time.
Cardiometabolic Context
Measurement frameworks spanning heart failure, CKD, diabetes, obesity, and rare cardiomyopathies, not a single-condition model.
Proven Impact in Clinical Settings
Asthma Pilot Study
- 70% compliance with twice-daily measurements
- Over 85% of participants completed at least one measurement daily
- High correlation between mobile and in-clinic spirometry
Phase 2b IPF Study
- Over 297 pulmonary function tests completed remotely
- 85% of FVC and 91% of FEV₁ measures graded A or B via automated quality review
Validation for Trial Design
- Detecting a 0.1 L/min treatment effect in FEV₁ typically requires 100 participants per arm
- With mobile spirometry, that requirement drops to just 18 patients—driving significant cost and time savings
Designed for Sponsors and Sites
Koneksa’s cardiovascular measurement model is built to be usable across a wide range of functional status, with data visualizations designed to help site staff monitor compliance and quality without adding operational burden.
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