For customers looking to implement a GxP-compliant environment on AWS for artificial intelligence (AI) and machine learning (ML) systems, we have released a new whitepaper: Machine Learning Best Practices in Healthcare and Life Sciences.
This whitepaper provides an overview of security and good ML compliance practices and guidance on building GxP-regulated AI/ML systems using AWS services. We cover the points raised by the FDA discussion paper and Good Machine Learning Practices (GMLP) while also drawing from AWS resources: the whitepaper GxP Systems on AWS and the Machine Learning Lens from the AWS Well-Architected Framework. The whitepaper was developed based on our experience with and feedback from AWS pharmaceutical and medical device customers, as well as AWS partners, who are currently using AWS services to develop ML models.
Healthcare and life sciences (HCLS) customers are adopting AWS AI and ML services faster than ever before, but they also face the following

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