Pfizer’s Novel Prediction Model, Derived from Machine Learning, Shows Robust Performance for Identifying Heart Failure Patients At-Risk for Wild-Type Transthyretin Amyloid Cardiomyopathy, a Rare and Life-Threatening Condition
— Data published in Nature Communications reveals 87% accuracy in predicting wild-type transthyretin amyloid cardiomyopathy (wtATTR-CM) heart failure (HF) patients compared to non-amyloid HF patients
— This algorithm, built to help identify patients at-risk for wtATTR-CM, is the first to leverage artificial intelligence (AI)/machine learning across medical claims data