The 1st Annual ACDM Symposium on Artificial Intelligence & Machine Learning in Clinical Trials
Hilton Paddington, London, UK
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.
Join IQVIA for a demonstration session
The Landscape of AI & ML in clinical trials
To open what is sure to be an exciting and thought-provoking symposium this first session will introduce the world of Artificial Intelligence (AI) and machine learning (ML); what they are and how they are being applied within the industry and beyond. This session will provide attendees with a high-level understanding of the fundamentals of machine learning, paving the way for an interactive day of learning, insights, and valuable discussion.
Director of Data Science, Phastar
Chief Operating Officer, Senior Executive Consultant, QFINITY
Overcoming challenges using AI & ML
CEO & Senior Consultant, and Co-Lead of ISPE GAMP DACH Steering Committee, QFINITY
Technical Challenges: From Raw Data to Machine Learning Results – a practical example
Machine Learning Manager, CluePoints
12:00-12:45 – Lunch
Navigating the regulatory and ethical aspects of AI & ML within the industry
This presentation will look at the regulatory hurdles and considerations for the use of AI & ML in Clinical Trials
Medicines Inspector GxP IT, Danish Medicines Agency
The call for digital ethics is growing. After all, not everything that can technologically be implemented, is or should be legally regulated. This is why companies are repeatedly faced with groundbreaking ethical issues in digitization projects. In 2018, in a survey of Executives, 43% of respondents said they had faced ethical dilemmas at least once when making decisions regarding the use of new digital technologies. At the same time, only about 15% of Executives feel able to make informed and balanced decisions in such situations.
AI & ML play a sensitive role in the debate around digital ethics. Outcomes of neural networks are not explainable. This raises major concerns and questions of liability – especially in healthcare contexts.
In this session, we explore current trends, regulations and best practices towards the operationalization of digital ethics in healthcare organizations.
Senior Consultant, Institute for Digital Transformation in Healthcare GmbH
Q&A Panel with speakers from this session
14:15 – 14:30 – Coffee
Case Study 1: Pfizer and Saama – Using AI to support lightspeed data review in a COVID-19 vaccine trial
Director, Senior Asset Lead, Pfizer
Senior Director of Sales Engineering, Saama
Case Study 2: Machine Learning Approach for Recruitment Prediction in Clinical Trial Design
The aim of this presentation is to demonstrate the value of a data-driven machine learning (ML) approach to improve clinical trial enrollment prediction, while accounting for variations in trial site initiation times, seasonality, and other trial characteristics.
Solution Sales Specialist for AI, Medidata Acorn AI / EMEA
Q&A with all speakers