Award
National Heart, Lung, and Blood Institute 1K23HL177334-01A1
Applying digital phenotypes and epigenetics to understand clinical outcomes in acute hypoxemic respiratory failure without acute respiratory distress syndrome (NAHRF)
Recipient
University of California at Davis
Award Amount
$169,344.00
Ceiling
$169,344.00
Awarded
July 30, 2025
Identifier
1K23HL177334-01A1
The award funds research to develop clinical prediction models and understand biological mechanisms in non-ARDS acute hypoxemic respiratory failure using machine learning and epigenetics, supporting personalized treatment approaches.
Description
This project aims to develop clinical prediction models for mortality in adults with non-acute respiratory distress syndrome acute hypoxemic respiratory failure (NAHRF). It will apply machine learning to detect subphenotypes of NAHRF associated with different clinical outcomes and use sequencing-based whole methylome data to understand biological mechanisms. The research supports advancing personalized, phenotype-driven management of NAHRF.