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Case Studies > Oxford Biomedica and Antha: Bioprocess Informatics to Accelerate Lentiviral Vector Process Development

Oxford Biomedica and Antha: Bioprocess Informatics to Accelerate Lentiviral Vector Process Development

Technology Category
  • Analytics & Modeling - Machine Learning
  • Analytics & Modeling - Predictive Analytics
  • Application Infrastructure & Middleware - Data Exchange & Integration
  • Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries
  • Life Sciences
  • Pharmaceuticals
Applicable Functions
  • Product Research & Development
  • Quality Assurance
Use Cases
  • Machine Condition Monitoring
  • Predictive Quality Analytics
  • Process Control & Optimization
Services
  • Data Science Services
  • Software Design & Engineering Services
  • System Integration
The Challenge
Oxford Biomedica faced challenges in handling the large volume of bioprocessing data generated from their lentiviral vector development process. The traditional methods of using spreadsheets and proprietary vendor software tools were cumbersome, resource-intensive, and prone to bias. The need for a scalable, flexible, and robust software tool to automate complex experiments and handle high-volume data streams was evident.
About The Customer
Oxford Biomedica is a leading company in lentiviral vector research, development, and manufacturing, with over 20 years of experience in gene and cell therapy. They were the first to treat humans with in vivo lentiviral-based vectors and have developed a valuable portfolio of gene and cell therapy product candidates for various medical indications. In 2017, they partnered with Synthace to use the Antha platform for automating and improving their bioprocess research and development.
The Solution
Oxford Biomedica implemented Synthace’s Antha platform to automate the upload, collation, organization, structuring, processing, visualization, and analysis of high-volume, high-density data streams. Antha provided a cloud-based data store and a Python-based environment for dynamic data interrogation. The platform enabled rapid organization and structuring of data from various sources, improved data integrity, and facilitated flexible analysis and visualization. This integration allowed Oxford Biomedica to handle the entire dataset, leading to better process characterization and understanding.
Operational Impact
  • Antha reduced the time from data generation to data interpretation from days to hours, achieving a ~94% resource saving for a typical process analysis.
  • The platform improved data integrity and reduced handling issues by automating data upload and structuring, eliminating manual touchpoints.
  • Antha enabled the use of the entire dataset, reducing bias and improving process characterization and understanding.
Quantitative Benefit
  • Antha reduced the time spent uploading data from disparate sources by 83%.
  • The time required to structure data was reduced by 92%.
  • Overall, there was a 90% saving in time spent from generating raw data to creating a structured dataset (from 2.5 to 0.25 hours).

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