Menu Close

The 1st Annual ACDM Symposium on Artificial Intelligence & Machine Learning in Clinical Trials

Thursday 20th October 2022
Hilton Paddington, London, UK

The use of Artificial Intelligence and Machine Learning in clinical trials data management is increasing. This rate of uptake and the diversity of application varies widely between companies. In a recent survey we asked when people thought AI/ML would make a significant contribution to the day-to-day work of the clinical data management function. The results reinforced the opinion that some companies are already utilising these techniques whereas other consider them to be some way off.

This symposium will bring together pharma, CRO and technology companies to discuss the different types of AI/ML, the applications of these, and also look at practical examples of these techniques being currently utilised in clinical trials. The day will consist of presentations, panel discussions, practical demonstrations, and the chance to network with peers from the sector.



£ 225
  • Daytime attendance
  • Coffee & lunch
  • Printed delegate guide


£ 295
  • Daytime attendance
  • Coffee & lunch
  • Printed delegate guide

ACDM Symposium Sponsors

PHASTAR is a specialist biometrics contract research organization offering statistical consulting, clinical trial reporting, data management and data science services by providing expert consultants and managing and delivering in-house projects, FSP-style arrangements and preferred partnerships.

Our number one priority is ensuring on time, quality work: every project undertaken is supervised on methodology and utilizes internal processes designed to guarantee optimal quality, inspired by 4,000 years accumulated technical experience across the company.

Visit Phastar Website

Ancillarie is a support service company established in 2012. Ancillarie provide clinical and technical services to Pharmaceutical, Biotechnology and Contract Research Organizations and helps them to accomplish their goals. They provide services Biostatistics, CDISC-Implementation and Mapping, Clinical Data Management,  Clinical Operations, Medical Writing, Pharmacovigilance, Quality Assurance, Resourcing and Statistical Programming service

Visit Ancillarie Website

Take back control of your clinical trials with Medrio’s proven suite of eClinical Data Management solutions. Since 2005, we’ve been innovators in the clinical trial technology space, offering a configurable selection of EDC, DDC, eConsent, RTSM and ePRO/eCOA. Let us put you back in the driver’s seat with adaptive technology that accelerates your trials and reduces patient burden, without compromising data quality. Or lean on our global team of experts who are available 24/7 to support your most pressing needs. Learn more about our leading eClinical solutions at

Visit Medrio Website

IQVIA (NYSE:IQV) is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry. IQVIA creates intelligent connections to deliver powerful insights with speed and agility — enabling customers to accelerate the clinical development and commercialization of innovative medical treatments that improve healthcare outcomes for patients. With approximately 74,000 employees, IQVIA conducts operations in more than 100 countries.

Visit Iqvia Website

Saama is the life science industry leader of ClinTech, the new category of purpose-built, AI-based clinical insights and automation platforms empowering faster, safer clinical development and regulatory programs. Over 50 biotech companies–including many top 20 pharmaceutical companies–use Saama’s award-winning Life Science Analytics Cloud (LSAC) platform to accelerate over 1,500 studies, including the clinical trial for the world’s first COVID-19 vaccine. LSAC’s rich applications facilitate unprecedented, authoritative oversight and automation of comprehensive clinical research data, enabling companies to file New Drug Applications (NDAs) more efficiently and bring treatments to patients sooner.

Visit the Saama website