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

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	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	Platform as a Service (PaaS) - Data Management Platforms Analytics & Modeling - Machine Learning Analytics & Modeling - Predictive Analytics
Applicable Industries	Life Sciences Pharmaceuticals
Applicable Functions	Product Research & Development Quality Assurance
Use Cases	Predictive Quality Analytics Process Control & Optimization Machine Condition Monitoring
Services	System Integration Data Science Services Software Design & Engineering Services
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

Technology Category

Platform as a Service (PaaS) - Data Management Platforms

Analytics & Modeling - Machine Learning

Analytics & Modeling - Predictive Analytics

Applicable Industries

Life Sciences

Pharmaceuticals

Applicable Functions

Product Research & Development

Quality Assurance

Use Cases

Predictive Quality Analytics

Process Control & Optimization

Machine Condition Monitoring

Services

System Integration

Data Science Services

Software Design & Engineering Services

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 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.

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.

Impact #1	Antha reduced the time from data generation to data interpretation from days to hours, achieving a ~94% resource saving for a typical process analysis.
Impact #2	The platform improved data integrity and reduced handling issues by automating data upload and structuring, eliminating manual touchpoints.
Impact #3	Antha enabled the use of the entire dataset, reducing bias and improving process characterization and understanding.

Impact #1

Antha reduced the time from data generation to data interpretation from days to hours, achieving a ~94% resource saving for a typical process analysis.

Impact #2

The platform improved data integrity and reduced handling issues by automating data upload and structuring, eliminating manual touchpoints.

Impact #3

Antha enabled the use of the entire dataset, reducing bias and improving process characterization and understanding.

Benefit #1	Antha reduced the time spent uploading data from disparate sources by 83%.
Benefit #2	The time required to structure data was reduced by 92%.
Benefit #3	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).

Benefit #1

Antha reduced the time spent uploading data from disparate sources by 83%.

Benefit #2

The time required to structure data was reduced by 92%.

Benefit #3

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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Overview

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

Operational Impact

Quantitative Benefit