Heart failure affects more than 26 million people worldwide, and new medical devices are critical to improving monitoring and treatment outcomes.
Yet, proving device value in clinical trials requires uncovering the right patient populations, outcomes, and correlations that traditional analytics often miss.
In this case study, discover how BullFrog AI’s bfLEAP™ platform analyzed complex clinical trial data for a cardiovascular monitoring device, delivering actionable insights such as:
- Identifying niche patient populations of highest value
- Revealing hidden correlations between demographics, physiological readouts, and device scoring algorithms
- Enhancing trial design with novel co-variates to improve patient stratification and trial success rates
By applying advanced AI/ML methodologies, bfLEAP™ uncovered new relationships that strengthened the client’s clinical evidence package and increased the likelihood of regulatory and market success.
Download the full case study now to see how BullFrog AI transforms complex cardiovascular trial data into clarity, precision, and accelerated outcomes.