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Development of Frontend Applications for Medical Diagnostics and Reagent Production
  1. case
  2. Development of Frontend Applications for Medical Diagnostics and Reagent Production

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Development of Frontend Applications for Medical Diagnostics and Reagent Production

euvic.com
Medical
Information technology
Biotechnology

Diagnostic Workflow Inefficiencies

Laboratory technicians faced challenges in efficiently processing, storing, and managing medical assay data for pancreatic cancer detection. Existing systems lacked integration for reagent production workflows and R&D process optimization, delaying early disease detection and increasing manual workload.

About the Client

Pioneering diagnostics firm specializing in blood-based cancer detection and medical test development

Medical Software Modernization Goals

  • Develop scalable frontend applications for medical test analysis and reagent production
  • Implement cloud-configurable solutions for laboratory data management
  • Ensure compliance with medical device software standards (IEC 62304)
  • Optimize workflows for clinical sample testing and algorithm development

Core System Capabilities

  • Medical image analysis for microarray slide data processing
  • Secure cloud storage and management of clinical test results
  • Automated calculation engine for diagnostic algorithms
  • Reagent production tracking and quality control interface
  • R&D tools for test algorithm development and validation

Technology Stack Requirements

Angular
Node.js
Python
AWS

System Integration Needs

  • Microarray imaging hardware interfaces
  • Existing laboratory information systems
  • Cloud-based medical data repositories

Critical System Requirements

  • Medical-grade data security and patient privacy compliance
  • High-availability cloud architecture
  • Scalable processing for large medical datasets
  • Real-time diagnostic result calculation
  • Audit trail functionality for regulatory compliance

Expected Business Transformation

Implementation of standardized medical software solutions will enhance pancreatic cancer early detection capabilities, reduce manual processing errors by 70%, and accelerate diagnostic test development cycles. Compliance with IEC 62304 standards will ensure market readiness while cloud scalability supports global laboratory adoption.

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