Presented by
Management Forum
AI and Machine Learning are revolutionising clinical trial data management by enhancing efficiency, streamlining processes, and minimising human error. This course will be of use in both the pharmaceutical and medical device industry.
30 June 2025
+ 6 November 2025 »
from £649
Artificial Intelligence (AI) and Machine Learning (ML) are rapidly reshaping the clinical trials landscape, driving innovation in how research is designed, conducted and evaluated. While these technologies hold immense promise to enhance efficiency, reduce costs, and improve outcomes, their adoption is paired with ethical concerns, prompting the development of robust regulatory frameworks to guide their responsible use. For professionals in the field, understanding the fundamentals of AI and ML and their implications is becoming increasingly essential.
This comprehensive one-day training course provides an overview of AI and ML, focusing on their applications in clinical trials and the regulatory and ethical considerations that accompany their use. Participants will explore how AI and ML are being used to optimize trial efficiency, predict patient outcomes, and support adaptive trial designs. The course will also examine the regulatory frameworks, including the EU AI Act and related regulatory initiatives, to ensure compliance and ethical use of these technologies in a highly regulated environment.
Through engaging lectures, real-world case studies, and interactive assessments, attendees will gain valuable insights into the transformative potential of AI and ML in clinical trials while understanding the challenges and responsibilities associated with their implementation. Join us to enhance your knowledge of these cutting-edge technologies and their role in advancing clinical research.
This course is part of our range of Medical Devices training courses - now also including Medical Devices Cyber Security training to help improve your data security.
This course is aimed at anyone working in clinical research, clinical operations, data management, regulatory and compliance, and associated functions seeking to leverage AI and ML in clinical trials. Whether you're new to AI/ML or looking to deepen your understanding, this course provides valuable insights into how these technologies are reshaping the clinical research landscape.
Patient monitoring and safety surveillance
Clinical data management and analysis
Workflow optimization
Zuzanna Kwade is Software Clinical Evaluation Lead at Dedalus Healthcare. Zuzanna holds a PhD in Biochemistry and has 15 years of experience in clinical and medical research. She is the co-author of several white papers on regulatory aspects of clinical research and clinical evaluation.
Since 2016, she has been actively involved in Clinical Evaluations according to MEDDEV 2.7.1 (Rev.4) for multiple devices, including high risk hardware devices and medical software. 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.
NEW higher discounts for multiple bookings - bring your colleagues to make your training budget go further:
Please contact us for pricing if you are interested in booking 5 or more delegates
30 June 2025
Live online
09:00-17:00 UK (London) (UTC+01)
10:00-18:00 Paris (UTC+02)
04:00-12:00 New York (UTC-04)
Course code 15483
Until 26 May
Not ready to book yet?
for 7 days, no obligation
6 November 2025
Live online
09:00-17:00 UK (London) (UTC+00)
10:00-18:00 Paris (UTC+01)
04:00-12:00 New York (UTC-05)
Course code 15484
Until 02 Oct
Not ready to book yet?
for 7 days, no obligation
* Early booking discounts may not be combined with other discounts or offers. As such, the discounts for 2nd/3rd/4th delegates are based on the full price; and apply only when booking multiple delegates on the same date.
1 day
Typical duration
Pricing from:
We can customise this course to your requirements and deliver it on an in-house basis for any number of your staff or colleagues.
Contact our in-house training experts Aleksandra Beer and Yesim Nurko to discuss your requirements:
Multiple colleagues? See above for details of our discounts for 2, 3, or 4 delegates. For more, talk to one of our training experts to discuss how to: