AI-driven tools for peak prediction and automatic peak integration

Pharmaceutical R&D

Company

DTEK Group

Industry

Energy Generation

Country of the Company

EU

Type of Service

Consulting

Tasks

  • Develop an AI-driven ecosystem to enhance HPLC capabilities in pharmaceutical R&D, enabling peak prediction, automated integration, and compliance with regulatory standards and GMP.

Challenges

  • Accurate prediction of chromatogram peak retention times.
  • Automated and precise peak integration adhering to regulatory and GMP standards.
  • Ensuring data privacy and security in compliance with industry regulations.
  • Integration with existing laboratory information management systems (LIMS).

Solutions

  • Develop an AI-powered ecosystem to enhance HPLC capabilities.
  • Predict peak retention times and integrate peaks automatically per GMP and regulatory standards.
  • Utilize ML models trained on historical chromatographic data for real-time predictions and integrations.
  • Include a user-friendly interface for parameter monitoring and compliance.
  • Seamlessly integrate with existing LIMS for streamlined data management and record-keeping.

Outcomes

  • Achieve a 20-25% increase in operational efficiency, reducing manual workload and enhancing the accuracy of chromatographic analyses.

Technologies Used

TensorFlow

PyTorch

Azure

AWS

COMPANY

NDA

Industry

Pharmaceutical

Country of the Company

NDA

Type of Service

Consulting

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