ISHLT Molecular Biomarker Study Using Artificial Intelligence/Machine Learning Analysis in Lung Transplantation Grant
This grant funds research using AI and molecular biomarkers to develop non-invasive diagnostics and improve outcomes for lung transplant patients.
Funder: International Society for Heart and Lung Transplantation
Due Dates: September 30, 2026: Full application submission deadline | September 30, 2026: Deadline to submit completed ISHLT membership application
Funding Amounts: Two awards of up to $40,000 USD each for one year; one for a US-based lab, one for a non-US lab.
Summary: Supports research leveraging AI/machine learning with molecular biomarkers to improve access and outcomes in lung transplantation.
Description
This grant supports research projects that utilize artificial intelligence (AI) or machine learning (ML) in combination with molecular biomarkers—derived from blood, body fluids, or tissue—to advance non-invasive diagnostics and improve clinical outcomes in lung transplantation. The goal is to facilitate innovative, technology-driven approaches that enhance care for lung transplant recipients, with a particular emphasis on non-invasive biomarker discovery and analysis.
