Ujjwal Ratan

AstraZeneca is on a mission to deliver 20 life-changing medicines by 2030, and is leveraging agentic AI technology to make it happen. The company has implemented AI solutions throughout their organization, revolutionizing their data management and analysis capabilities.

Reviewing clinical trial protocols is a time-consuming process. In this builders’ session, discover how to streamline this task using Amazon Q Business, a generative AI–powered assistant.

Life sciences organizations are embracing generative AI to boost innovation and productivity. In this session, learn how Gilead uses generative AI on AWS to enable foundation model choice via unique architectural patterns and operationalize foundation model governance.

The Center for Data-Driven Discovery in Biomedicine at Children’s Hospital of Philadelphia is at the intersection of pediatric care and research, building a transformative healthcare discovery ecosystem through collaborative, data-driven science. In this session, learn how AWS technology allows the Kids First Data Resource Center and the Children’s Brain Tumor Network to provide the research...

Like any industry, Life Sciences organizations are adopting machine learning to advance capabilities across their value chain, such as in clinical trials, adverse event prediction, and real-world evidence. Success of these initiatives is predicated on the quality of data that informs models.

The increasing amount of data available to pharmaceutical companies creates pressure on R&D teams to orchestrate and analyze that data and generate insights that will help patients prevail over serious diseases. In this session, learn how Bristol-Myers Squibb used AWS services to create a platform-based approach for ingesting, preparing, curating, and persisting business-critical data for...