Photoplethysmography (PPG) forms the foundation of QuanBio’s vascular data pipeline. Using non-invasive optical sensors, the platform captures high-resolution blood volume dynamics, enabling continuous measurement of vascular function and generating rich physiological datasets in real time.
Vascular biomarkers serve as measurable indicators of cardiovascular function and risk. QuanBio’s platform extracts and tracks these biomarkers longitudinally across repeated measurements and diverse populations, supporting clinical insight today while generating real-world datasets suitable for pharmaceutical research, AI training, and population-level evidence generation.
QuanBio applies machine learning and deep learning techniques to large-scale vascular datasets. These models identify patterns, detect early risk signals, and uncover complex relationships across physiological variables. Our models are continuously improving as more real-world data is collected.
Arterial mechanics play a central role in cardiovascular health. QuanBio quantifies arterial stiffness through pulse wave dynamics, including Pulse Wave Velocity (PWV), providing objective measures that support risk stratification, disease detection, and data-driven modeling of vascular aging.
QuanBio’s platform supports screening and monitoring workflows that continuously generate structured vascular data in real-world care settings. Non-invasive capture, rapid analysis, and AI-driven interpretation enable early insight while contributing to longitudinal datasets designed to support real-world evidence generation, disease progression analysis, and evaluation of therapeutic impact beyond traditional clinical trials.
Clinical validation and real-world evidence
Real-world validation through clinical collaboration and applied research ensures QuanBio’s models are grounded in physiological relevance while producing real-world evidence suitable for pharmaceutical research, regulatory-aligned studies, and translational science.
Peripheral Artery Disease (PAD)
QuanBio’s vascular data analysis enables identification of patterns associated with peripheral vascular dysfunction, supporting early risk detection and population-level research into disease progression.
Coronary Artery Disease (CAD)
By analyzing vascular waveforms and arterial mechanics, QuanBio’s platform detects signals associated with coronary risk, enabling earlier insight prior to symptom onset.
Microcirculation
QuanBio’s data captures microvascular dynamics reflected in PPG signals, supporting investigation of tissue-level perfusion and early microcirculatory changes.
Arterial Aging
Longitudinal vascular data enables analysis of arterial aging patterns over time, supporting both individual assessment and large-scale modeling of vascular health trajectories.
