News
Clinical Trial Software Partners with AWS for AI-Driven Improvements
Decentralized clinical trial software provider Thread this week announced a new partnership with Amazon Web Services (AWS) that it says will lead to new "enterprise-scale automation" features and "built-in AI-driven technologies" for its offerings.
"These next-generation DCT technology features will serve as the backbone for modern clinical research by enabling faster, more efficient clinical trials while improving access for research participants with higher quality data capture across the life cycle of a study," the company commented.
According to the announcement, Thread is working with AWS to develop a new machine learning architecture, as well as related models that will automate various process for its customers.
Along with these new automation features, Thread says it will be using the AWS cloud backbone to improve the platform's real-time data capture and auto-populate various data points as well as other improvements.
"By combining Thread's advanced DCT platform with the security, scale, and agility of AWS's cloud and machine learning technology expertise, we are empowering our customers to automate data capture and storage and at the same time providing predictive forecasts to better run studies and decrease the time it takes to conduct research." said Scott Pearson, chief product officer of Thread, in a provided statement. "This is the future of modern clinical research."
A release date for the new features was not provided.
More information on Thread's current offerings can be found here./
About the Author
Becky Nagel serves as vice president of AI for 1105 Media specializing in developing media, events and training for companies around AI and generative AI technology. She also regularly writes and reports on AI news, and is the founding editor of PureAI.com. She's the author of "ChatGPT Prompt 101 Guide for Business Users" and other popular AI resources with a real-world business perspective. She regularly speaks, writes and develops content around AI, generative AI and other business tech. She has a background in Web technology and B2B enterprise technology journalism.