ISHLT Non-Invasive Biomarker Study Using Artificial Intelligence/Machine Learning Analysis in Lung Transplantation Grant

CareDx Supported By: CareDx

This grant will fund research focusing on focuses on non-invasive biomarkers and the use of AI/Machine Learning in the care lung transplant recipients.

Purpose

The purpose of this grant is to fund research that utilizes the support of Artificial Intelligence/Machine Learning in addition to non-invasive biomarkers to optimize evaluation and selection of lung transplant candidates or to augment clinical assessment and management of lung transplant recipients.

Winning research might include models or algorithms that improve access to advanced lung disease care, help guide immunosuppression therapy, provide risk assessment for adverse events, or predict patient survival or other outcomes.

Grant Details

Two grants will be awarded for the funding duration of one year. The budget for each grant will be up to $40,000. One grant will be designated for research to be performed in a laboratory located in the United States, and one grant will be designated for research to be performed in a laboratory located outside the United States.

Current Recipients