Ai In Clinical Trials And Clinical Research

[mitsumi]

Ai In Clinical Trials And Clinical Research
Published 11/2025
Created by Susmit Bhowmik
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 6 Lectures ( 1h 22m ) | Size: 1.21 GB
Unlock AI-powered strategies for smarter, faster clinical trials, improving patient recruitment, safety, and trial effic


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

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