Project 1 focuses on developing multi-omics models to improve the clinical course of severe community-acquired pneumonia (CAP) by analyzing samples from the distal lung and nasopharynx.
Project 2 investigates the pathogenesis of hospital-acquired and ventilator-associated pneumonia (HAP/VAP) through the integration of host response, pathogen features, and microbiome data to predict clinical outcomes.
The Administrative Core coordinates communication, resource distribution, and regulatory oversight across all Projects and Cores, fostering collaboration and facilitating the dissemination of research findings in pneumonia and infectious diseases.
The Data Management and Bioinformatics Core supports SCRIPT² by developing advanced computational tools to manage, integrate, and analyze diverse clinical and multi-omics data, enabling rapid cohort identification and secure data sharing.
The Modeling Core applies machine learning to clinical and multi-omics data to generate interpretable models of severe pneumonia, identifying biomarkers and predicting clinical transitions to improve therapeutic decision-making.
The Technology Core provides sample processing, biobanking, and next-generation sequencing (NGS) support for all projects, generating data to inform subsequent analyses and enable deep insights into pneumonia pathogenesis.
NIH Research program number: 5U19AI135964
