Accelerating Tuberculosis Research and Diagnostics with FIND’s AWS-Enabled Knowledge Base

Executive Summary

FIND has designed an information-sharing knowledge base platform that connects laboratories, research institutions, clinicians and public health programmes worldwide, fostering collaboration and streamlining the journey to improve drug-resistant tuberculosis (DR-TB) diagnostics. The client selected DataArt as a trusted partner for website development, Bioinformatics Analysis, Stats Modules development, and ensuring AWS compliance with security guidelines. This collaboration is set to accelerate the pursuit of breakthroughs in DR-TB diagnosis, thus fulfilling FIND’s vision of a healthier world for all.

Solution Highlights: Unlocking the Code to Better Healthcare

DataArt stepped in to streamline the diagnostic journey with an innovative, multi-tiered approach. With Amazon Web Services (AWS) serving as the backbone of the solution, the following key components were addressed:

1. Integration of Public Data Sources: Refined the ETL logic using a public API of the reference International Nucleotide Sequence Database Collaboration.
2. Bioinformatics Analysis Optimization: Conducted thorough testing and adjustments of the heavy ETL pipeline for sequencing data extraction.
3. AWS Step Functions Enhancement: Updated State Machines workflows to enable smooth and automated computing with AWS Batch.
4. AWS Configurations: Ensured compliance with security standards.
5. AWS Lambda and Fargate Management: Assisted the client in adjusting AWS Lambda and leveraged Fargate to enhance website security and scalability.
6. AWS ECS and AWS Cloudfront: Created new data visualization web portal and deployed using the AWS services in a scalable and reliable way.