Discovering New Cancer Treatments by Applying AI to Genomics DataDiscovering New Cancer Treatments by Applying AI to Genomics Data
1000+
Hours saved through continuous DevOps and QA automation
10+
Terabytes of generated synthetic data for faster research cycles
400k+
Increased scalability by enabling the integration of petabyte-scale oncology data for 400,000+ patients to advance precision cancer research.
8
Ensured strict security and implemented a governance framework for controlled data access.
Business Challenge
Our client faced a critical challenge in cancer research: the lack of a standardized approach to connecting diverse stakeholders and accessing vast, complex datasets. With data fragmented across cancer centers, researchers, clinical trials, and patients, the absence of a unified system for recording and storing healthcare information hindered the discovery of life-saving insights.
Exadel’s Solution
Exadel developed a secure, highly scalable holistic software ecosystem for the state-of-art integration of data between cancer centers, researchers, clinical trials, and patients. This solution provides researchers with actionable genomic insights by processing raw sample data through advanced validation and patient-matched analysis.
The Exadel team migrated the infrastructure from AWS to Azure in collaboration with Microsoft Product teams, leveraging Azure Cloud resources for unmatched scalability and cost-efficiency.
We implemented advanced analytics powered by Azure Functions, accelerating time to insights by leveraging big data systems.
Let’s make your next project faster, safer, smarter.
Case Studies
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Real Results
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