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Department of Biomedical Informatics and Data Science

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 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

Center for Clinical and Translational Science

PI: Robert P. Kimberly

Informatics Director: James Cimino

Co-Investigators: Jake ChenAmy Wang

The vision of the Center for Clinical and Translational Science (CCTS) is to reduce health disparities in diseases disproportionately represented within the Deep South as we accelerate discovery to improve human health. To accomplish this, the CCTS will 1) develop a vibrant, diverse clinical and translational research workforce, 2) catalyze a collaborative, integrated data analytics and informatics ecosystem, 3) work closely with local constituencies to address health issues of particular significance to our region and will share best practices in pursuit of community engaged studies to enhance culturally sensitive participation, safety, confidentiality and effectiveness, 4) support the ethical conduct of scientifically rigorous pilot and clinical research, and 5) use quantitative and qualitative assessment and feedback to assure that training and research programs meet the needs of its scientific constituencies and the goals of the CCTS.

Press Release Link: https://www.uab.edu/ccts/

Duration of Grant: 5/6/2019 – 4/30/2024

Building and InnovatinG: Digital heALTH Technology and Analytics (BIGDATA)

PI: Jeffrey R. Curtis

Co-Investigator: John Osborne

Through the encompassing of three distinct and synergistic cores (Data Capture and Integration [DCI] Resource Core, Methodologic, and Administrative), the BIGDATA CCCR will bring innovative HIT tools and methods to the research community to effectively advance the NIAMS mission. Methods of advancing the NIAMS mission will include the following: promotion of innovative and musculoskeletal disease-focused research while expediting clinical, translational and informatics-related projects; fostering the development, refinement, and application of existing and de novo digital technology data through our Data Capture and Integration Core, and promote the training of both junior and established clinical and translational investigators in the current methods of clinical informatics and digital health tools applicable to the NIAMS mission through diverse enrichment activities overseen by our Administrative Core.

Duration of Project: 09/15/2020 - 07/31/2024

Building and InnovatinG: Digital heAlth Technology and Analytics (BIGDATA)

PI: James Willig

Co-Investigator: Amy Wang

The goal of this research core is to harness mobile and digital health technologies, informatics, real-world data, and advanced analytics to support broad base of investigators both within and outside UAB. The main priority is to bring innovative informatics and translational tools and methods to the research community with a focus on promoting innovative and synergistic research in rheumatologic and musculoskeletal diseases.

Duration of Grant: 9/15/2020 – 7/31/2024

Heterogeneity in African Ancestry SLE: Implications for Targeted Therapy

PI’s: Alexander Rosenberg, Chris Scharer

Also known as “Bioinformatics, Data Management and Integration,” the project has the goal of developing an informatics environment (data warehouse, integrative and analytical tools) for many types of data that will be collected for this cohort (e.g. flow cytometry, RNAseq, ATACseq, DNA methylation, single cell RNAseq and repertoire sequencing). The team on this project will coordinate program-wide ‘omics data processing, data management and downstream analysis, while assisting in requirements assessment, data modeling, data storage strategies, implementation, and ETL process development.

Press Release Link: How to Better Treat Lupus in Black Patients

Duration of Grant: 9/1/2021 – 8/30/2024

Integrating Genomic Risk Assessment for Chronic Disease Management in a Diverse Population – the eMERGE Consortium

PI’s: Nita Limdi, James Cimino

The project aims to develop race-specific genomic risk assessments, establish methods to implement these assessments and management in clinical care is the vital first step to leverage 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. 

Press Release Link: https://grantome.com/grant/NIH/U01-HG011167-01

Duration of Grant: 7/1/2020 – 4/30/2025

Structural Variation Analysis With and Without a Reference Genome

PI: Zechen Chong

This project aims to develop efficient algorithms to SV analysis for organisms both with and without a reference and to study the SV formation mechanisms based on global genomic architecture, while obtaining accurate SV characterization and understanding their formation mechanisms using new sequencing data.

Duration of Grant/Project: 7/1/2020 – 6/30/2025

CRITICAL: Collaborative Resource for Intensive care Translational science, Informatics, Comprehensive Analytics, and Learning

PI: Jim 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 be able to support fair and generalizable algorithms for advanced patient monitoring and decision support. The proposed project will provide best practice guidance to and set up exemplary examples for nationwide CTSAs. It will also support the cultivation of next generation medical AI researchers.

Press Release Link: https://www.scholars.northwestern.edu/en/projects/critical-collaborative-resource-for-intensive-care-translational-

Duration of Grant: 8/15/2021 – 7/31/2025

Understanding the Mechanisms of Congenital HydroCephalus Using Genomic Sequencing Approaches

PI: Zechen Chong

Co-PI: Brandon G. Rocque

The project aims to utilize advance genomics tools to identify and understand additional genetic variations and 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

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: 10/01/2021 - 9/30/2026