This federal Project Grant award from the National Heart, Lung, and Blood Institute (NHLBI), under the Cardiovascular Diseases Research program (CFDA 93.837), supports the development of a software tool to optimize cardiac resynchronization therapy (CRT), conduction system pacing (CSP), and left ventricular endocardial pacing (LVEP) therapies for heart failure patients with left bundle branch block and ischemia. The total funding amount is $293,653, awarded on September 17, 2024. The project aims to create a computational modeling framework that integrates artificial intelligence and machine learning algorithms to personalize therapy optimization and improve treatment outcomes, particularly for patients with ischemic cardiomyopathy who have higher rates of non-response to CRT. This software tool, if successfully developed through the proposed Phase I and subsequent Phase II efforts, could have a substantial impact on reducing the healthcare costs associated with the heart failure epidemic by improving the efficacy of these advanced pacing therapies.