Challenge / Need

ML chromatogram processing is transforming pharmaceutical and biopharma QC by automating peak detection and reducing manual review. With machine learning models trained on validated data, laboratories achieve faster analysis, improved accuracy, and consistent, audit-ready results across analytical workflows.

A global leader in pharmaceuticals sought to revolutionize its chromatogram processing by leveraging machine learning (ML). The challenge was to collect raw chromatogram data from various sources and apply ML models to process and annotate this data. Netica’s solution provided a unified, automated data flow, transforming how partners handled chromatograms. 

Light-skinned pharmaceutical QC analyst reviewing HPLC chromatogram data on a computer monitor in a modern GxP-compliant laboratory.
Netica’s Solution: Automated ML Pipeline

Netica’s NetILab offered a comprehensive platform tailored to partners’ specific needs: 

  • Automated Data Collection: Seamless integration with various chromatogram systems, eliminating the need for manual extraction and data collection.
  • ML Prediction Pipeline: Implementation of an automated machine learning prediction pipeline, transforming raw chromatograms into actionable insights.
  • Review and Sign-Off Capability: Providing the ability to review and sign results and predictions made by ML models, either automatically or manually, ensuring accuracy and compliance.
  • PDF Report Generation: Creating detailed PDF reports that include predictions and reviews, offering a complete overview of the chromatogram processing.

Transform Your Chromatogram Processing with NETILAB. ML applied chromatogram processing solution offers a cutting-edge approach to handling chromatograms. Whether you’re in the pharmaceutical industry or exploring other scientific applications, NetILab provides a tailored solution to meet your unique challenges. 

Benefits

By implementing NETILAB, the partner achieved: 

  • Streamlined Data Collection: No more manual extraction, saving time and reducing the risk of errors.
  • Automated ML Predictions: Enhancing chromatogram processing with automated machine learning predictions.
  • Control and Compliance: Ability to review and sign off on results, ensuring alignment with industry standards and internal requirements.
  • Comprehensive Reporting: Generation of PDF reports with included predictions and reviews, providing a clear and concise record of the chromatogram processing.

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