The University of Pittsburgh is the recipient of a $186,221 Project Grant award from the National Institute of Allergy and Infectious Diseases (CFDA 93.855 Allergy and Infectious Diseases Research) to develop personalized approaches for diagnosing and treating pediatric sepsis. The overarching goal is to enhance the ability to predict, treat, and prevent sepsis in children by integrating real-time physiological data with electronic health records. Key objectives include:
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Augmenting sepsis phenotypes by incorporating high-frequency physiological data to identify additional subtypes and predict disease progression.
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Retrospectively developing and externally validating predictive algorithms to identify bloodstream infections prior to traditional diagnostic signs.
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Implementing and fine-tuning the best-performing infection prediction model in a real-time clinical evaluation.
This 5-year project aims to provide new tools for early sepsis detection and personalized treatment approaches to improve outcomes for pediatric patients. The grant supports a multidisciplinary research effort leveraging expertise in critical care, infectious diseases, machine learning, and informatics.
Generated 3/4/25, 3:50 AM