Combining physiological concepts with data analytics and machine learning across heart failure, cardiogenic shock and mechanical circulatory support.
Physiological insights from analysis of the arterial pressure waveform.
A full analytics pipeline — from research datasets to validated clinical inference — with machine-learning models and provenance tracked at every step.
Turning complex hemodynamic signals into clear, guideline-grounded guidance that reaches clinicians and patients where decisions are made.
