From Big Data To Precision Medicine: Reshaping Clinical Trials For Better Patient Outcomes

The popular phrases "Artificial intelligence," "machine learning," "real-world data," and "generative biology" hold significant implications for clinical trial innovation. They offer the potential for better disease understanding, more rapid and efficient trial execution, and the development of breakthrough medicines for patients. Leveraging digital technologies, particularly AI and ML, can enhance data analysis, patient monitoring, and remote participation. Additionally, using ML models can aid in medicine design, predict drug characteristics, and improve patient selection for diverse trial participation. Embracing multidisciplinary collaboration is essential to overcome regulatory complexities and fully harness the benefits of medical advancements for patient well-being.