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SXSW 2019

Analytics Approaches to Tackling Drug-Resistant TB

The Tuberculosis (TB) Data Exploration Portal (DEPOT) (https://depot.tbportals.niaid.nih.gov/) is a public-facing analytics tool that supports hypothesis generation and on-demand statistical testing aimed at improving drug-resistant TB patient diagnostics and outcomes. The National Institutes of Health (NIH), National Institute for Allergy and Infectious Diseases (NIAID), Office of Cyber Infrastructure and Computational Biology (OCICB) developed a cloud-based solution that integrates clinical factors, bacterial genomics, CT scans, and X-ray images to enable analysis of user-defined patient cohorts. This session will explain how the DEPOT disrupts the status quo in clinical research, and will demonstrate, in real-time, a multidimensional comparative analysis in the tool.

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  1. Public platforms for data analysis and collaboration are the future of biomedical research hypothesis generation and patient cohort identification.
  2. Integration of multiple domains such as clinical, genomic, and radiological data offers a multi-dimensional approach to tackling drug-resistant TB.
  3. International collaborations in data sharing are essential to help find and develop a cure for drug-resistant infectious diseases in modern medicine.



Alex Glogowski, Manager, Deloitte

Meta Information:

  • Event: SXSW
  • Format: Dual
  • Track: Health & MedTech
  • Level: Intermediate
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