Tuberculosis is the leading cause of death due to infectious disease and the rate of mortality significantly increases in patients with drug-resistant tuberculosis (DR TB). The complex etiology of DR TB requires a multi-dimensional approach to analyses, spanning clinical, genomic, and radiological indicators. The National Institute of Allergy and Infectious Diseases (NIAID) developed the Tuberculosis Data Exploration Portal (TB DEPOT) to address the challenges that diagnosing and treating DR TB cases present. TB DEPOT fully supports the National Institute of Health’s (NIH) Findable, Accessible, Interoperable, and Reusable (FAIR) principles. TB DEPOT is a publicly available, web-based analytics tool that enables researchers and clinicians to create virtual cohorts of deidentified patient cases, save them, and conduct on-demand comparative statistical analyses to facilitate hypothesis generation and understanding of the disease. The solution leverages Amazon Web Services (AWS) for cloud-based infrastructure, .NET webforms, Highcharts, R, PLINK, custom-developed algorithms, and APIs. During this system demonstration, we will navigate the platform live and discuss the benefits and considerations of software innovation to support an increased understanding of complex diseases.
Learning Objective: After participating in this session, the learner should be better able to:
Learn how to use the NIAID TB DEPOT solution to compare cohorts of patient cases across data domains and understand how the TB DEPOT architectural approach can be reused and applied to other disease areas.
Alyssa Long (Presenter)
National Institute of Allergy and Infectious Diseases
Alexander Glogowski, National Institute of Allergy and Infectious Diseases