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The Application of Artificial Intelligence (AI) and Machine Learning (ML) in Clinical Trial Data Management Training Course is an essential program for professionals involved in clinical research, clinical operations, data management, regulatory compliance, and related functions. This course, organized by Management Forum Ltd, provides a comprehensive overview of how AI
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and ML are revolutionizing the clinical trials landscape, enhancing operational efficiency, streamlining processes, and minimizing human error. Participants will gain insights into the fundamentals of AI and ML, and their applications in the clinical trial environment, focusing on optimizing trial efficiency, predicting patient outcomes, and supporting adaptive trial designs.
The course will delve into critical regulatory frameworks, including the EU AI Act and guidelines set forth by various agencies such as the FDA and EMA, to ensure compliance and ethical use of AI and ML technologies in clinical settings. Attendees will explore the validation and approval processes for AI-based tools, data handling requirements, and methodologies for mitigating bias in AI models. The training will feature engaging lectures, real-world case studies, interactive assessments, and discussions on overcoming common challenges associated with adopting AI and ML in clinical trials. Zuzanna Kwade, the Software Clinical Evaluation Lead at Dedalus Healthcare, will be a key speaker, bringing her extensive experience in regulatory aspects of clinical research and clinical evaluation to the course. Participants will also have the opportunity to network with fellow attendees and receive documentation and certification upon completion. This course is designed to equip attendees with the knowledge and skills needed to effectively leverage AI and ML technologies in clinical trials, ensuring they stay ahead of industry advancements.
The course will delve into critical regulatory frameworks, including the EU AI Act and guidelines set forth by various agencies such as the FDA and EMA, to ensure compliance and ethical use of AI and ML technologies in clinical settings. Attendees will explore the validation and approval processes for AI-based tools, data handling requirements, and methodologies for mitigating bias in AI models. The training will feature engaging lectures, real-world case studies, interactive assessments, and discussions on overcoming common challenges associated with adopting AI and ML in clinical trials. Zuzanna Kwade, the Software Clinical Evaluation Lead at Dedalus Healthcare, will be a key speaker, bringing her extensive experience in regulatory aspects of clinical research and clinical evaluation to the course. Participants will also have the opportunity to network with fellow attendees and receive documentation and certification upon completion. This course is designed to equip attendees with the knowledge and skills needed to effectively leverage AI and ML technologies in clinical trials, ensuring they stay ahead of industry advancements.
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Estimated Turnout100 - 500 Delegates Based on previous editions | Official LinksWebsiteContacts
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EditionsNov 2025 Interested+2 more editions Frequency Bi-annual | Report Error Claim this event |
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