Waveform-based physiology for discovery, translational research, and clinical insight
PhysioSense partners with academic medical centers, government research programs, and independent investigators to explore how pulsatile waveform data can be transformed into interpretable physiological descriptors. Our collaborations support biomarker discovery, longitudinal phenotyping, translational studies, critical injury and illness research, and new multi-modal programs built around physiological signal intelligence.
PhysioSense opens new research pathways from existing waveform data
Standard monitoring often reduces physiology to a small number of scalar values. PhysioSense adds a richer interpretive layer by transforming waveform behavior into longitudinal measures related to vascular load and compliance.
- Study physiological trajectories over time rather than relying only on isolated vital signs
- Explore new biomarker hypotheses from waveform-derived physiological descriptors
- Support translational research that links physiologic mechanism to real-world monitoring signals
- Use an interpretable signal-analysis platform across retrospective and prospective study designs
Built for collaborative, funding-aligned research programs
PhysioSense is well suited for investigator-initiated studies, translational programs, and grant-funded collaborations across cardiometabolic, critical care, critical injury and illness, cerebrovascular, aging, and longitudinal monitoring contexts — including work in sepsis, trauma, burns, ARDS, and ICU physiology.
Where PhysioSense can advance scientific understanding
From cohort studies and translational physiology to longitudinal monitoring, digital twin modeling, and clinically grounded biomarker exploration, PhysioSense supports a wide range of waveform-based research questions.
Physiological Subgroup Characterization
Apply PhysioSense to existing or prospective cohorts to identify separable physiological patterns within disease populations and explore how those patterns relate to outcomes, treatment response, or disease progression.
Waveform-Derived Biomarker Exploration
Evaluate whether waveform-derived physiological descriptors can serve as useful biomarker candidates in clinical or translational studies, including work focused on correlation, stratification, or longitudinal response tracking.
NIH, DoD, and Translational Research Alignment
PhysioSense can support research directions relevant to cardiovascular, critical care, critical injury and illness, neurovascular, trauma, burns, ARDS, aging, and longitudinal physiology programs, making it a strong fit for collaborative grant applications and pilot funding efforts.
Mechanism-to-Monitoring Translation
Bridge basic and translational physiology by linking experimental or mechanistic hypotheses to measurable waveform-derived outputs in human monitoring environments.
Longitudinal Physiological Tracking
Study how physiology evolves over weeks, months, or years, including trajectories related to aging, recovery, chronic disease burden, and intervention effects.
Monitoring and Decision-Support Research
Explore how waveform-derived physiological descriptors may contribute to monitoring systems, risk frameworks, or clinical-decision-support research programs in partnership with investigators and translational teams.
Digital Twin & Trajectory Modeling
Explore how waveform-derived physiological descriptors can contribute to patient-specific modeling, endotyping, and trajectory prediction in critical care and translational research settings.
Adaptive and Interventional Research Support
Support studies that use waveform-derived physiology to inform subgrouping, trajectory monitoring, or evaluation of intervention response in critical care, preclinical translational, and adaptive trial-oriented research settings.
Grounded in clinically relevant waveform analysis
PhysioSense methods have been explored across diverse monitoring environments and patient populations, supporting research use in acute care, critical illness, longitudinal monitoring, pharmacologic response, and cross-signal analysis.
Acute and High-Acuity Monitoring Contexts
PhysioSense has been applied in high-fidelity waveform environments, including intensive care and other monitored clinical settings, to study how waveform-derived physiological descriptors relate to evolving patient state and clinically meaningful change.
Pharmacologic and Physiological Perturbation Studies
Controlled analyses of medicated or otherwise perturbed patient populations have shown that waveform-derived physiological measures can shift directionally with expected physiological or treatment-related change, supporting research applications in response tracking and mechanism-oriented studies.
Cross-Signal and Cross-Platform Applicability
PhysioSense has been applied across multiple waveform sources, including arterial line and PPG-based signals, and can contribute to broader multi-modal research designs where monitoring source, biomarker layer, platform, or care environment may vary.
Physiological Correlation and Longitudinal Analysis
Research efforts have explored how waveform-derived descriptors relate to conventional physiological measures, disease context, and longitudinal change, helping establish the scientific grounding for broader translational, biomarker-oriented, and trajectory-modeling studies.
How we work with research partners
Research Alignment & Feasibility Review
We begin by understanding the research question, available signals, study population, and funding context to assess where PhysioSense can add the most value.
Retrospective or Pilot Analysis
Where waveform data already exists, PhysioSense can support retrospective feasibility work to generate preliminary findings for manuscripts, pilot studies, or grant applications.
Prospective Study Design
We work with investigators to define signal collection, analysis plans, study endpoints, and translational objectives for prospective research programs, including preclinical translational work and adaptive trial-oriented studies where appropriate.
Publication, Translation, and Expansion
Collaborations can extend into publication planning, follow-on grants, translational programs, digital twin research, and broader multi-institution partnerships as findings mature.
Scientific support and research infrastructure
- Waveform-analysis platform for retrospective and prospective research use
- Scientific collaboration on study design, physiologic interpretation, endpoint framing, and trajectory-oriented analyses
- Support for pilot studies, translational programs, and grant-oriented feasibility work
- Flexible deployment across research computing, secure environments, and collaborative analysis workflows
- Compatibility with multi-modal research frameworks that combine waveform signals with clinical, biomarker, and omics data
- Deep expertise in physiological signal interpretation, critical care, vascular response, and waveform-based modeling
Interested in a research collaboration?
Tell us about your research program, dataset, or funding direction, and we can explore how PhysioSense may contribute to the scientific question, study design, and broader translational strategy.
Propose a Collaboration