Endpoint readiness
Protocol-aligned
Definitions + outputs standardized
Quality controls
Real-time
Missingness, outliers, device drift
Traceability
Auditable
From raw signal → endpoint
Validated digital measures for clinical development
From physiology to function, Delve transforms raw wearable signals into validated, regulator-aligned digital measures—so sponsors can trust the data, defend the endpoint, and operationalize it at scale across studies.
Standard definitions · QC rules · Versioned outputs · Study-ready reporting.
Wearable data is noisy, inconsistent, and device-dependent. Digital biomarkers solve this by applying validated algorithms, statistical models, and context-aware transformations that turn continuous sensor data into meaningful, clinical-grade measurements.
Delve enables sponsors to rapidly deploy, validate, and scale digital biomarkers aligned with FDA, EMA, and PMDA digital health technology frameworks.
A regulator-aligned, stepwise approach to transforming raw sensor signals into defensible, submission-ready
digital endpoints.
Compare sensor-derived signals against gold-standard clinical measures to establish feasibility and relevance.
Build reproducible, device-agnostic algorithms with controlled sampling, normalization, and signal quality checks.
Accuracy, variance, reproducibility, and context-of-use validation aligned to FDA and EMA expectations.
Delve supports a broad and continuously expanding catalog of digital biomarkers. Each is validated for physiological accuracy, sampling reliability,
and clinical interpretability.
Heart Rate HRV (RMSSD, SDNN) Pulse Morphology AFib Risk Indicators
Respiratory Rate Nocturnal RR Trends Breath Variability Activity-Adjusted Burden
Gait Speed Step Accuracy 6MWT Digital Equivalent Mobility Signatures
Sleep Stages Fragmentation Index Circadian Stability Sleep Efficiency
The future of endpoints is hybrid. Delve fuses wearable signals with ePRO triggers, symptom diaries, and clinician assessments to produce composite endpoints with richer explanatory power.
This is how Delve reveals the story behind every datapoint — the human experience inside the physiology.
Real-time HRV + symptom correlation predicted early toxicity signals.
Nocturnal respiratory patterns improved early exacerbation detection.
Gait speed and 6MWT digital equivalents aligned with clinician assessments.
See how validated digital endpoints can accelerate your next study.