NIH Reporter #1R01HL183262-01A1

Unlocking the potential of wearable sensors to measure physical activity and predict clinical worsening in pediatric pulmonary hypertension

Award to develop machine learning models using wearable sensors to predict clinical worsening in pediatric pulmonary hypertension, funded by NHLBI with approximately $1.07 million.

Description

This project aims to develop and validate machine learning models using wearable sensor data to assess disease severity and predict clinical worsening in pediatric pulmonary hypertension. The project involves analysis of longitudinal raw sensor data from multiple sites and aims to establish new clinical endpoints for pediatric trials.

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