Automation in Statistical Programming: Advancing Clinical Research Through R, Python, and AI Integration
Year: 2025
Type: article
Abstract: The integration of R, Python, and artificial intelligence-based solutions is revolutionizing statistical programming in clinical trials. As the complexity of clinical trials grows and data volumes expand, traditional manual processes are giving way to automated solutions that enhance efficiency, accuracy, and reproducibility. Through advanced programming frameworks, machine learning algorithms, and deep learning applications, organizations can streamline data processing, validation, and analysis workflows while maintaining regulatory compliance. The combination of these technologies enables faster processing of large-scale clinical data, improved pattern recognition, and automated quality control processes, fundamentally transforming how statistical programming supports clinical research operations.
Author: Rohit Kumar Ravula
Institution: Ball State University
Language: English
Topic: Data Analysis with R
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4409862703