AI & ML In Clinical Trials: Fundamentals, Applications, And Regulatory Aspects Scheduled For November 5, 2026
Dublin, Sept. 16, 2026 (GLOBE NEWSWIRE) -- "AI & ML in Clinical Trials: Fundamentals, Applications, and Regulatory Aspects (Nov 5, 2026)" has been added to ResearchAndMarkets.com's offering.
The AI & ML in Clinical Trials: Fundamentals, Applications, and Regulatory Aspects training course, delivered by IPI Academy, will take place online on November 5, 2026, from 09:00 to 17:00 GMT. The one-day programme examines Artificial Intelligence (AI) and Machine Learning (ML) applications in clinical trials alongside regulatory and ethical considerations relevant to their use in a highly regulated environment.
Key Event Facts
Course: AI & ML in Clinical Trials: Fundamentals, Applications, and Regulatory Aspects
Date: November 5, 2026
Time: 09:00–17:00 GMT
Format: Online event
Duration: 1 day
Focus: AI and ML fundamentals, clinical trial applications, regulatory frameworks and ethical considerations
CPD: 6 hours
The course provides an overview of AI and ML and focuses on how these technologies are applied in clinical trials. Topics include optimizing trial efficiency, predicting patient outcomes and supporting adaptive trial designs. The programme also examines the regulatory landscape for AI in clinical trials, including the EU AI Act and related regulatory initiatives, alongside ethical aspects and the integration and future directions of these technologies.
Why You Should Attend
- Examine the fundamentals of AI and ML and their applications in clinical trials. Explore how AI and ML can be applied to trial efficiency, patient outcome prediction and adaptive trial designs. Review the regulatory landscape for AI in clinical trials, including the EU AI Act and related regulatory initiatives. Consider ethical aspects associated with AI and ML use in clinical research. Work through real-world case studies and interactive assessments addressing the implementation of AI and ML in clinical trials.
The training is relevant to professional responsibilities involving clinical research, clinical operations, data management, regulatory and compliance functions. Its combination of AI and ML applications with regulatory and ethical considerations provides a structured framework for understanding the technologies and the responsibilities associated with their implementation in clinical trials.
Who Should Attend
- The course is aimed at professionals working in clinical research, clinical operations, data management, regulatory and compliance, and associated functions who are seeking to leverage AI and ML in clinical trials. It is also intended for participants who are new to AI/ML or those looking to deepen their understanding of these technologies.
Featured Course Speaker
Zuzanna Kwade, Software Clinical Evaluation Lead, Dedalus Healthcare. She holds a PhD in Biochemistry and has 15 years of experience in clinical and medical research. She has co-authored white papers on regulatory aspects of clinical research and clinical evaluation and has been involved in Clinical Evaluations according to MEDDEV 2.7.1 (Rev.4) for multiple devices. She also represented COCIR in the European Union Task Force on clinical evaluation of software and co-authored MDCG2020-1 guidance on clinical evaluation of MDSW.
The AI & ML in Clinical Trials: Fundamentals, Applications, and Regulatory Aspects course takes place on November 5, 2026. Professionals seeking to develop their understanding of AI and ML applications, regulatory considerations and ethical aspects in clinical trials can review the programme and register your interest through Research and Markets.
For more information about this training visit
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