At the 4th Annual ACDM Symposium on Artificial Intelligence (AI) in Clinical Trials, the session “Overcoming AI Hype for Realised ROI: Taking a Problem-Centred Approach to Enterprise Transformation” confronted this challenge head-on.

Led by Jason Housley (eClinical Solutions), the discussion pulled no punches on why stubborn timelines persist despite decades of “next-gen” innovation – from blockchain to wearables to today’s AI.

Drawing on industry survey data, real-world case studies, and his “Golden Rules” for sustainable transformation, Jason shared how organisations can cut through the buzz and focus on the problems that truly matter – delivering tangible, measurable results rather than symbolic go-lives.

Read the session summary for key takeaways – pragmatic, experience-based, and laser-focused on turning AI potential into real ROI.

Click here to read

The ACDM is delighted to welcome Neha Shah of ITM to the Newsletter Committee.

Neha brings over 16 years of experience in the clinical research and pharmaceutical industry to the newsletter committee, with deep expertise in global clinical data management and regulatory compliance.

Made up of dedicated data management professionals, the ACDM Newsletter Committee creates engaging content that keeps members informed, connected, and up to date with ACDM activities throughout the year. Find out more about the committee here: https://acdmglobal.org/newsletter-committee/

The ACDM is delighted to welcome Sylvain Berthelot of CRScube to the Newsletter Committee.

Sylvain is the Vice President of Strategy and Marketing at CRScube, where he embraces the company’s goal to make clinical trials more accessible. Sylvain has dedicated his 20+ year-long career to providing software for the pharmaceutical industry, and brings a wealth of experience to this group.

Sylvain has kindly put together an introduction video for members to get to know him. Watch below or click here:

The ACDM: Association for Clinical Data Management is delighted to welcome VHypotenuse as a new corporate member.

Founded in 2021, VHypotenuse was born from a deep-rooted passion for science and technology, driven by a strong desire to make a meaningful impact on the world. Originally established as an IT and Data Management company, VHypotenuse has since expanded into the field of Clinical Research, conducting clinical trials across a range of therapeutic areas. At VHypotenuse, they are committed to delivering innovative and reliable solutions to our clients.

VHypotenuse joined the ACDM as part of its ongoing commitment to upholding the highest standards in clinical research and data integrity. The association offers a valuable platform for collaboration, learning, and contributing to best practices, supporting VHypotenuse’s mission to enhance quality, efficiency, and compliance in clinical trials while advancing patient safety and scientific rigour.

Members gain many benefits from membership, including:

• Access to training courses at a discounted rate
• Assign full ACDM membership to all individuals within your organisation
• Place an organisation profile, description and logo on the ACDM website
• Advertise jobs for your positions within your organisation
• Reduced price attendance at conferences and symposia
• Free attendance at Hot Topics

Find out more about becoming a corporate member here.

The ACDM is delighted to welcome Marta Kowalska of CluePoints to the Newsletter Committee.

Beginning her career in clinical research over 20 years ago in data management, Marta has since built deep expertise across clinical operations, systems integration, and solutions consulting, bringing a wealth of experience to the group.

Made up of dedicated data management professionals, the ACDM Newsletter Committee creates engaging content that keeps members informed, connected, and up to date with ACDM activities throughout the year. Find out more about the committee and how to join here: https://acdmglobal.org/newsletter-committee/

Researchers at UCL have trained an AI model using de-identified data from 57 million people, demonstrating the potential for large-scale anonymised datasets to support future healthcare research. The study explores how privacy-preserving methods can still produce clinically useful insights.

Read the full article here: https://www.ucl.ac.uk/news/2025/may/ai-model-trained-de-identified-data-57-million-people