Other content in this Stream
Sanofi Webinar: Performing end-to-end real-world evidence generation with traceability and transparency on AWS
Hear about Sanofi’s journey and experience in building an industrialized big data & analytics platform in the cloud.
Case Study: Omada Health Reduces Diabetes Risk with Prevention Program Built on AWS
Omada Health chose Amazon Web Services (AWS) as the platform for all its production applications.
Video: Propeller Health Leverages AWS to Help Patients Manage Respiratory Disease
Propeller Health uses sensor data and machine learning on AWS to help respiratory patients over time become experts at managing their symptoms and identifying triggers.
Case Study: Allergen
Open Science, a model of research and development, defines Allergan’s approach to identifying and developing ideas and innovation to improve patient care.
How Implementing a Real World Evidence Platform on AWS Drives Real World Business Value
Learn about the business drivers behind the rising importance of RWE to life sciences companies for research and product development.
Video: Patient-Focused Data Science: Machine Learning for Complex Diseases
Learn how Takeda researchers built and trained their own disease-specific ML models to simulate and quantify the overall disease burden and identify potential risks.
Video: Digital therapeutics and patient personalization
Learn the best practices for gathering and managing therapeutic device data and how industry-leading companies are using Amazon AI/ML to facilitate personalized engagement with patients and customers.
Video: Merck drives innovation with a “real-world data exchange” on AWS
Learn how Merck, a leading global biopharmaceutical company, deployed an enterprise-wide cloud-based data and analytics platform to advance product development and commercialization.
