Award

NIH Reporter #5R01EB035028-03

Personalized Risk Prediction for Prevention and Early Detection of Postoperative Failure to Rescue

Recipient

University of California Los Angeles

Award Amount

$611,060.00

Ceiling

$611,060.00

Awarded

August 08, 2025

Identifier

5R01EB035028-03

This award funds the development of machine learning-based tools to predict and prevent postoperative complications by analyzing diverse health data, aiming to improve patient safety and outcomes.

Description

The project aims to develop, validate, and test real-time postoperative risk prediction tools using machine learning approaches on multi-modal data sources, including electronic health records, physiological waveform data, and genomic data. The goal is to identify patients at risk of major postoperative complications and improve management to reduce failure-to-rescue rates.

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