Advanced Clinical Trials and Clinical Research

AI in Clinical Research

Artificial intelligence (AI) is reshaping clinical research through automation, pattern recognition, and predictive analytics. This session explores how AI is applied across the clinical trial lifecycle, from protocol design and site selection to patient recruitment, data analysis, and risk prediction. Attendees will gain insights into machine learning (ML) models, natural language processing (NLP), and AI-based imaging tools that accelerate decision-making and reduce human error. Regulatory considerations for AI transparency, model validation, and algorithm bias mitigation will be covered. The session also discusses AI integration into electronic data capture systems, electronic medical records, and clinical trial management systems (CTMS). Real-world applications from oncology, neurology, and rare diseases illustrate AI’s role in enhancing trial efficiency, accuracy, and patient outcomes. Whether you are a data scientist, clinical researcher, or sponsor, this session offers actionable guidance for incorporating AI-driven tools into your trial strategy responsibly and effectively.