U54 NIH Common Fund Data Ecosystem (CFDE)
PI: Jake Chen, Co-Investigators: Casey Greene, Sean Davis, Peipei Ping, Wei Wang
The U54 grant aims to modernize data sharing, integration, and innovation across the biomedical research community while enhancing the interoperability and accessibility of NIH-funded data repositories. The initiative is part of the CFDE's vision to create a cohesive framework for seamless access to biomedical data, develop standards and tools for integrating diverse data types and sources, and leverage advanced technologies to elevate data analytics and research applications.
Duration of Grant: 4/1/2024 - 3/31/2029
Opioid Use Disorder Center of Excellence
PI: Sue Feldman, Co-Investigator: John Osborne
The goal of this project is to support the identification and treatment of opiate use disorder cases in Alabama.
Duration of Project: 10/1/2021 - 9/30/2026
Understanding the Mechanisms of Congenital HydroCephalus Using Genomic Sequencing Approaches
PI: Zechen Chong, Co-PI: Brandon G. Rocque
The project aims to utilize advanced genomics tools in identifying and understanding additional genetic variations, along with malfunctioning cell types that contribute to the etiology of congenital hydrocephalus. By doing so, it seeks to advance the diagnosis and treatment of the condition.
Duration of Project: 9/11/2023 - 8/31/2025
CRITICAL: Collaborative Resource for Intensive Care Translational Science, Informatics, Comprehensive Analytics, and Learning
PI: James Cimino
Working with Northwestern University, we aim to establish a large cross-CTSA collaborative critical care data-sharing by leveraging the existing CTSA collaborative networks. With the diversified racial, ethnic, and geographic profiles from the above CTSAs, we will support fair and generalizable algorithms for advanced patient monitoring and decision support. The proposed project will provide best-practice guidance and establish exemplary examples for nationwide CTSAs. It will also support the cultivation of next-generation medical AI researchers.
Duration of Grant: 8/15/2021 - 7/31/2025
Structural Variation Analysis With and Without a Reference Genome
PI: Zechen Chong
This project aims to develop efficient algorithms for structural variation analysis for organisms, both with and without a reference. The project will also study the structural variation mechanisms based on global genomic architecture while obtaining accurate structural variation characterization and understanding their formation mechanisms using new sequencing data.
Duration of Project: 7/1/2020 - 6/30/2025
Integrating Genomic Risk Assessment for Chronic Disease Management in a Diverse Population – the eMERGE Consortium
PI's: James Cimino, Nita Limdi
The project aims to develop race-specific genomic risk assessments and establish methods to implement these assessments. Management in clinical care is the vital first step to leveraging the power of genomics to prevent disease. In the United States, 60% of adults have at least one chronic disease and 40% have two or more. Although research has identified genomic signatures of common diseases, genomic risk assessments are not used in clinical care to identify, and if appropriate, pre-treat patients at high risk for developing disease.
Duration of Grant: 7/1/2020 - 4/30/2025