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Title
Aizon Improves Pharmaceutical Manufacturing With Artificial Intelligence Using AWS
…on with expert guidance and packaged solutions Solutions Customer Stories Aizon Aizon Improves Pharmaceutical Manufacturing With Artificial Intelligence Using AWS 2022 Overview Pharmaceutical manufacturing is a complex and heavily regulated i…
Description
Aizon built a GxP-compliant AI platform on AWS to help pharmaceutical manufacturers optimize biomanufacturing processes. Using AWS IoT, AWS Lambda, and Amazon SageMaker, Aizon created digital twins of bioreactors that trigger machine learning operations for process optimization. For a multinational pharmaceutical company producing blood-plasma-based drugs, Aizon built unsupervised and supervised learning models that identified two critical process variables; optimizing them improved yield by double digits, worth potentially tens of millions of dollars. AWS also reduced Aizon's compute costs by up to 80 percent.
…termine the root cause of these problems, the company turned to Aizon for help. Using its AI-enabled, GxP-compliant platform built on AWS cloud architecture, Aizon created an unsupervised learning model to identify patterns among plasma…
…rocess variance and that batch clusterization was critical to yield prediction. Furthermore, the company identified two critical process variables and found that optimizing just those variables was sufficient to improve the yield by double digits, resulting in potential gains of tens of millions of dollars for the pharmaceutical customer.Aizon looks forward to helping more and more pharmaceutical companies realize si…
Company
Aizon
Aizon Case Study 2022 Skip to main content Filter: All English Contact us AWS Marketp…
Industry
Pharmaceuticals
…armaceutical Manufacturing With Artificial Intelligence Using AWS 2022 Overview Pharmaceutical manufacturing is a complex and heavily regulated industry. There are hundreds of decisions and variables in each manufacturing process tha…
Problem
Pharmaceutical manufacturing is a complex and heavily regulated industry. There are hundreds of decisions and variables in each manufacturing process that must be calibrated correctly to deliver safe, effective drugs to patients. As today's market scales, the demands of production management and process data analysis exceed human capabilities. A multinational pharmaceutical company producing promising drugs based on human blood plasma experienced an unexplained decrease in product yield coupled with an unwelcome increase in process variability over several years.
…armaceutical Manufacturing With Artificial Intelligence Using AWS 2022 Overview Pharmaceutical manufacturing is a complex and heavily regulated industry. There are hundreds of decisions and variables in each manufacturing process tha…
…ssible to manage without a serverless architecture." Aizon’s Platform in Action A multinational pharmaceutical company producing promising drugs based on human blood plasma experienced an unexplained decrease in product yield coupled with an unwelcome increase in process variability over several years. To determine the root cause of these problems, the company turned to Aizon for…
Solution
Aizon built a GxP-compliant AI platform on AWS that creates 'digital twins' of bioreactors: individual bioreactors are connected to the cloud via AWS IoT, and when conditions change within a bioreactor this triggers AWS Lambda to execute a machine learning operation in Amazon SageMaker. For the affected pharmaceutical customer, Aizon created an unsupervised learning model to identify patterns among plasma composition origins across thousands of drug batches, and a supervised learning model to predict yield for each upcoming batch coupled with real-time dashboarding.
…. Using its AI-enabled, GxP-compliant platform built on AWS cloud architecture, Aizon created an unsupervised learning model to identify patterns among plasma composition origins in thousands of the pharmaceutical company’s drug batches over the years. Aizon also created a supervised learning model to predict yield for each upcoming batch and coupled that with real-time dashboarding.Aizon’s analyses revealed that the plasma composition origin explained over half…
Business value
Aizon's analyses revealed that the plasma composition origin explained over half of the process variance and that batch clusterization was critical to yield prediction. The company identified two critical process variables and found that optimizing just those variables was sufficient to improve the yield by double digits, resulting in potential gains of tens of millions of dollars for the pharmaceutical customer. AWS also reduced Aizon's compute costs by up to 80 percent.
…dict yield for each upcoming batch and coupled that with real-time dashboarding.Aizon’s analyses revealed that the plasma composition origin explained over half of the process variance and that batch clusterization was critical to yield prediction. Furthermore, the company identified two critical process variables and found th…
…production. Benefits of AWS ● Delivered GxP-compliant data analytics platform ● Reduced compute costs by up to 80 percent ● Identified process improvements that could boost yield by over 10 percent ● C…
Technology
AWS IoT, AWS Lambda, Amazon SageMaker
…ons of devices. When conditions change within a bioreactor, this event triggers AWS Lambda , a serverless compute service, to execute a machine learning operation in Amaz…
…er prices Single-product pricing Amazon S3 Amazon Bedrock Amazon RDS Amazon EC2 Amazon SageMaker Browse all product pricing Learn Documentation Get detailed technical guides an…
…n be connected to one another and to the cloud via the AWS Internet of Thing s (AWS IoT), a serverless architecture that can collect, analyze, and store data for billi…
Applicable regulations
GxP
…oni Manzano, PhD Chief Scientific Officer, Aizon AWS HCLS Symposium: Aizon Play Applying Artificial Intelligence in a GxP Environment Aizon’s platform is uniquely suited to the pharmaceutical and biomanufacturing…
AI capabilities
Predictive Analytics
…igins in thousands of the pharmaceutical company’s drug batches over the years. Aizon also created a supervised learning model to predict yield for each upcoming batch and coupled that with real-time dashboarding.Aizon’s analyses revealed that the plasma composition origin explained over half…
Deployment model
cloud
…company turned to Aizon for help. Using its AI-enabled, GxP-compliant platform built on AWS cloud architecture, Aizon created an unsupervised learning model to identify patterns among plasma…
Deployment options
cloud
…company turned to Aizon for help. Using its AI-enabled, GxP-compliant platform built on AWS cloud architecture, Aizon created an unsupervised learning model to identify patterns among plasma…
