Autopilot

Autopilot, powered by AI/Deep Learning algorithms trained on historical clinical trial data, analyzes Study Protocol, Statistical Analysis Plan, patient data, and metadata to automatically generate SAS® programs, and create reports for a specific target submission task. These algorithms learn on an ongoing basis, build upon the knowledge graphs and keep getting better over time.

Benefits of Using Autopilot:

• Increased Efficiency: Automating manual tasks saves time and resources, allowing researchers to focus on more complex aspects of clinical trials.

• Improved Accuracy: The AI-powered approach reduces human error in coding and analysis, leading to more reliable results.

• Consistency and Compliance: Autopilot ensures reports adhere to required guidelines and submission standards, reducing the risk of delays or rejection.

• Faster Innovation: By streamlining data analysis and reporting, Autopilot can accelerate the pace of clinical research and drug development.

Overall, Autopilot offers a powerful solution for streamlining clinical trial data analysis and reporting. Its AI/Deep Learning capabilities provide continuous improvement, making it a valuable tool for researchers and sponsors to improve the efficiency and accuracy of their clinical research endeavors.