Heart Disease Clinical Study Computations

To further our dedication to providing best-in-class technical expertise that improve benefit-risk profile of treatments for patients diagnosed with heart disease. Using real-world publicly available clinical trial datasets, we developed principal component algorithms to measure and accelerate treatment response insights for patients living with cancer. Clinical data machine learning models for patients diagnosed with heart disease - Olu developed a K-means clustering algorithms to measure and accelerate clinical insights for patients living with heart disease.  The aim is to help drive physicians provide more precise treatments for an estimated 30 million U.S. adults diagnosed with heart disease.