Learn how Takeda researchers built and trained their own disease-specific ML models to simulate and quantif...
Other content in this Stream
Hear about Sanofi’s journey and experience in building an industrialized big data & analytics platform in the cloud.
Omada Health chose Amazon Web Services (AWS) as the platform for all its production applications.
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.
Open Science, a model of research and development, defines Allergan’s approach to identifying and developing ideas and innovation to improve patient care.
Learn how AWS Cloud services can help healthcare and life science organizations improve customer and patient engagement with personalize interactions and multi-channel communications.
Learn about the business drivers behind the rising importance of RWE to life sciences companies for research and product development.
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.
Learn how Merck, a leading global biopharmaceutical company, deployed an enterprise-wide cloud-based data and analytics platform to advance product development and commercialization.