Selected intellectual property and translational technology areas involving C3PH investigators and academic collaborators.
AI-enabled prediction of coronary stent expansion using pre-stent intravascular imaging, lumen segmentation, and calcified plaque characterization to optimize procedural planning and treatment outcomes.
Computational framework integrating intravascular imaging, finite element modeling, treatment simulations, and machine learning to estimate stent effectiveness and procedural response.
AI-derived analysis of pericoronary adipose tissue and CT imaging biomarkers for prediction of future cardiovascular events and precision prevention strategies.
Automated liver and spleen segmentation approaches for scalable hepatic fat quantification and cardiometabolic phenotyping from routine imaging studies.
AI-enabled analysis of segmented non-contrast CT imaging data to support obstructive coronary artery disease characterization and patient management.
Transformer-based and spatiotemporal deep learning architectures for predictive analysis from anatomic video sequences and longitudinal imaging data.
AI-enabled extraction of pathophysiologic imaging features from clinical imaging datasets to predict incident heart failure and downstream cardiovascular outcomes.
Systems and methods for predicting cardiovascular events using AI analysis of CT calcium score imaging, imaging biomarkers, and multimodal radiomic features.
Linked identifiers distinguish granted patent publications from published applications. Publication type is not a statement of current enforceability or licensing availability. Records reviewed October 22, 2026; rights and licensing are handled by the relevant institutions.
Discuss research collaborations, validation studies, and technology-specific inquiries with C3PH.
