Award
NIH Reporter #5R01HL168473-04
Neural Operator Learning to Predict Aneurysmal Growth and Outcomes
Recipient
Yale University, New Haven, CT
Award Amount
$648,998.00
Ceiling
$648,998.00
Awarded
July 07, 2026
Identifier
5R01HL168473-04
Development of a machine learning model using neural operators to predict TAA growth and outcomes, improving surgical timing and patient care by integrating diverse data sources and advanced techniques.
Description
This project aims to develop a neural operator-based machine learning tool to better predict thoracic aortic aneurysm (TAA) growth and outcomes, integrating murine and human data, synthetic datasets, and clinical imaging. The approach involves meta-learning, multi-fidelity training, and uncertainty quantification to enable minimal data predictions, ultimately improving surgical timing and patient care.