Free Download AI & Generative AI (GenAI) for Clinical Trials
Published 12/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 11m | Size: 1.2 GB
Master AI & Generative AI in clinical trials: data cleaning, risk prediction, synthetic controls, and trial optimization
What you'll learn
Understand how AI and Generative AI streamline clinical trial workflows, improve data cleaning, and enhance data quality for faster, safer research.
Learn how AI-powered risk detection identifies safety, quality, and operational issues early to support proactive clinical trial management.
Use Generative AI tools for protocol writing, documentation, and decision support to boost efficiency across the clinical trial lifecycle.
Develop skills to collaborate confidently with AI systems, ensuring ethical, transparent, and compliant use in modern digital clinical trials.
Gain future-ready clinical research skills needed by pharma, biotech, and CROs as AI transforms data integrity, patient engagement, and trial delivery.
Requirements
No technical background required - this course is designed for complete beginners in AI and Generative AI.
No coding experience needed - all concepts are explained in simple, practical language.
Basic understanding of clinical trials is helpful but not required (CRCs, CRAs, coordinators, data managers, students, and career switchers are all welcome).
A laptop or computer to follow along with examples and AI tools.
An open mind and willingness to learn how AI is transforming modern clinical research.
Description
Clinical trials are evolving rapidly, and AI & Generative AI (GenAI) are transforming the way research is conducted. Traditional trials rely on manual processes, complex data management, and lengthy timelines, often delaying the delivery of life-saving therapies. This course equips you with practical, future-ready skills to leverage AI and GenAI across the clinical trial lifecycle-from data cleaning and risk prediction to synthetic control arms, adaptive trial planning, and regulatory compliance.You do not need a technical background-this course focuses on practical understanding and hands-on applications in pharma, biotech, and CRO environments. Learn to collaborate effectively with AI, enhance patient safety, and accelerate trials while maintaining ethical and regulatory standards.By the end of this course, you will gain skills to:Clean and preprocess clinical trial data using AI & GenAI, ensuring accuracy and integrity.Apply statistical and deep learning models for predictive analytics, risk detection, and outcome simulations.Generate synthetic patient data and control arms, enabling adaptive, hybrid, and rare disease trials.Implement AI-driven risk monitoring and decision support, improving trial efficiency and patient safety.Understand regulatory, ethical, and governance frameworks for responsible AI deployment in clinical research.This course is perfect for clinical research associates, project managers, data managers, medical monitors, and trial professionals seeking to future-proof their skills and contribute to smarter, safer, and faster clinical trials.
Who this course is for
Clinical Research Associates (CRAs) who want to improve monitoring, risk detection, and data review with AI tools.
Clinical Research Coordinators (CRCs) looking to streamline documentation, queries, and site operations.
Clinical Data Managers & Data Analysts aiming to enhance data cleaning, quality checks, and decision-making using AI.
Regulatory, Safety, and Medical Affairs professionals interested in AI-enabled workflows and compliance considerations.
Students, graduates, and career switchers exploring clinical research and wanting a competitive edge with AI knowledge.
Anyone curious about AI in healthcare who wants a practical, non-technical introduction.
Pharma, CRO, and biotech professionals who want future-ready skills for digital and decentralised trials.
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