Accelerate clinical development with a faster, more productive data and AI platform

SAS Life Science Analytics Framework

SAS Life Science Analytics Framework is a single, open, cloud-native statistical computing environment for clinical research.

• Drive speed to market with more efficient clinical trials.
• Reduce errors in data aggregation and preparation.
• Maximize the flexibility to use different programming languages in one platform.
• Reduce risk with rigorous statistical analysis and regulatory controls.

SAS Clinical Acceleration Repository

SAS Clinical Acceleration Repository provides an open, cloud-native repository for storing, sharing and managing clinical research data. 

• Support data integrity and collaboration.
• Integrate large and diverse data sets.
• Promote collaboration across trials, phases and therapeutic areas. 
• Improve efficiency and speed with intuitive dashboards.

SAS Clinical Enrollment Simulation

SAS Clinical Enrollment Simulation uses powerful simulation to build faster, more strategic enrollment plans for clinical trials.

• Easily enter assumptions, capture variations and visualize results. 
• Build better enrollment projections with discrete event simulation. 
• Capture variability inherent in real-world situations. 
• Develop realistic enrollment estimates and include costs. 

SAS Viya Workbench

Viya Workbench is a self-service, on-demand compute environment for analytical development, including building AI and machine learning models for better data analysis.

• Build powerful models quickly and efficiently through the code-based environment. 
• Boost productivity and performance by customizing your CPU/GPU compute power to fit the needs of your project. 
• Focus on creating, innovating, iterating and testing with API integration.