AI in Clinical Trials and clinical research

AI in Clinical Trials and clinical research
Published 11/2025
Duration: 1h 23m | .MP4 1280×720 30fps(r) | AAC, 44100Hz, 2ch | 1.21 GB

What you’ll learn
– Clinical trial coordinators seeking to streamline workflows and understand how AI improves study efficiency and decision-making.
– CRAs and monitors wanting to upgrade skills in AI-enabled monitoring, risk-based oversight, and digital trial tools.
– Healthcare professionals exploring how AI supports precision medicine, biomarkers, and patient-centred trial design.
– Regulatory and ethics staff learning how AI impacts compliance, governance, data quality, and safety processes.
– Students in biomedical or data science aiming to understand practical AI applications in modern clinical research.

Requirements
– Basic clinical knowledge
– Data literacy skills
– Critical thinking mindset
– no programming needed

Description
Explore the transformative power ofAI in next-generation clinical trialswith this comprehensive course designed for clinical researchers, site staff, healthcare professionals, and early-career scientists. This course covers practical applications of AI acrosspatient 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:

Learn howAI enhances safety and pharmacovigilance, detecting adverse events early and enabling proactive risk-based monitoring.

Exploreprecision medicine and predictive modelling, including biomarker discovery and patient stratification, to optimise trial outcomes.

Recogniseregulatory, ethical, and governance considerations, ensuring AI tools are transparent, fair, and compliant with industry standards.

Analysefuture trends in clinical development, leveraging AI to drive innovation, decentralised trials, and data-driven decision-making.

Who this course is for:
– Clinical research students
– Site operations staff
– Trial management professionals
– Healthcare data analysts
– Early-career researchers
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