Guide to AI in Clinical Trials : A Job-ready Skills Guide

About this course

Explore the transformative power of AI in next-generation clinical trials with this comprehensive course designed for clinical researchers, site staff, healthcare professionals, and early-career scientists. This course covers practical applications of AI across patient recruitment, eligibility optimisation, risk-based monitoring, pharmacovigilance, precision medicine, biomarkers, predictive modelling, and ethical governance. Learners will gain actionable insights into how AI accelerates trial timelines, enhances patient safety, improves operational efficiency, and ensures regulatory compliance.Learning Objectives:Understand how AI streamlines patient recruitment and eligibility checks by analysing clinical data, reducing screen failures, and speeding study start-up.Learn how AI enhances safety and pharmacovigilance, detecting adverse events early and enabling proactive risk-based monitoring.Explore precision medicine and predictive modelling, including biomarker discovery and patient stratification, to optimise trial outcomes.Recognise regulatory, ethical, and governance considerations, ensuring AI tools are transparent, fair, and compliant with industry standards.Analyse future trends in clinical development, leveraging AI to drive innovation, decentralised trials, and data-driven decision-making.By the end of this course, participants will be equipped to implement AI-enabled strategies that make trials smarter, faster, and more patient-centred. Perfect for professionals and students aiming to stay at the forefront of AI-powered clinical research, this course blends theory, real-world examples, and actionable skills to maximise trial success.