Artificial Intelligence, Machine Learning & Digital Innovations in Clinical Research

This session focuses on the transformative role of artificial intelligence (AI), machine learning (ML), and other digital innovations in clinical research. Topics include predictive analytics for patient recruitment, AI-driven trial design optimization, automated data cleaning, and real-time monitoring of trial progress. Subtopics cover natural language processing for adverse event detection, algorithm-based risk assessment, and integration of AI tools with electronic data capture systems to enhance data accuracy and decision-making. Attendees will learn how digital innovations, including virtual patient cohorts, wearable devices, and mobile applications, improve trial efficiency, reduce costs, and enhance patient engagement. Case studies will demonstrate successful applications of AI in oncology, rare diseases, and chronic conditions, highlighting lessons learned and best practices. The session will also explore regulatory considerations, ethical implications, and validation requirements for AI-driven approaches. By the end of this session, participants will gain practical knowledge to implement AI and digital solutions in their clinical trials, streamline workflows, and improve overall trial outcomes.

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