Research-Driven Physiology AI for Digital Health. From Signals to Clinical-Grade Insight.
Meet PhysioSense. We are an applied physiology + AI R&D lab supporting digital health, wellness, and remote patient monitoring—combining deep physiological expertise with deployable software assets that accelerate real-world validation and population-scale deployment.
- We translate emerging physiology research into validated, deployable digital health and RPM models.
- Designed for continuous, non-invasive monitoring across member, patient, and at-home settings.
- PulseVu provides a ready-to-customize app framework for rapid prototyping, evaluation, and rollout with potential models for energy, stress, hydration, body reserve, heart health, breathing, and more.
What We’ll Present at CES
A research-oriented, practical review of the most impactful physiology + AI work shaping digital health, wellness, and remote patient monitoring. While the material is technical, the discussion is tailored to the audience—payer, provider, clinical, or technical—and led by experts spanning PhD-level research and MBA product strategy.
- Why vascular waveforms enable earlier detection of physiological stress, dehydration, and metabolic imbalance—beyond HR/HRV.
- What’s new in PPG-focused AI (foundational models, embeddings, reduced-dimension analysis) and what’s practical for RPM deployment.
- How to turn research into RPM products: metric definition, validation strategy, regulatory considerations, and member engagement hooks.
Next-Generation Digital Health & Wellness Metrics (Beyond “Vitals”)
PulseVu and our applied research translate vascular waveform intelligence from wearable PPG into actionable insights for wellness programs and RPM—supporting continuous monitoring, risk stratification, and proactive care.
- Hemodynamic interpretation for hydration, autonomic balance, and circulation dynamics—beyond traditional HR/HRV summaries.
- Physiological stress and recovery signals suitable for longitudinal monitoring in at-home and ambulatory settings.
- Metabolic and cardiometabolic insight pathways to support wellness journeys and proactive interventions.
- Population-ready measurement concepts: repeatable metrics, engagement hooks, and validation plans.
- Designed to prototype quickly in PulseVu—customize metrics, cohort logic, and reporting for your use cases.
From Research → RPM Prototype → Scalable Deployment
PhysioSense helps healthcare teams translate physiological research into real-world RPM solutions—fast. Using PulseVu, we enable rapid prototyping, customization, and evaluation of new metrics across member and patient populations, supporting payer, provider, and wellness programs.
- Rapid prototype loop: define the metric → implement in PulseVu → evaluate on your cohort.
- Bring-your-data acceleration: adapt indices to your population, device mix, and motion context.
- Deployment considerations: on-device vs cloud split, reporting patterns, and validation documentation.
Let’s Talk at CES
If you’re exploring next-generation digital health or RPM capabilities, we’d welcome the opportunity to share the research and discuss what’s most relevant for your populations and care models.