July 1 + August 5, 2021 | Virtual
While our yearly appointment with the Association for Clinical Data Management (ACDM) in Edinburgh in March has been delayed to next year, their eDigital Expert Group is organizing a virtual Lunch & Learn series this summer to satisfy our hunger for data.
Artificial Intelligence and Machine Learning
Tim Armitage, Anju’s Executive Director of Business Solutions, is part of the eDigital Data Management Expert Group at ADCM. As the role of clinical data managers is changing and the industry is increasing the use of artificial intelligence and machine learning, the timing is more than ever right to learn more about this topic. These Lunch & Learn sessions focus on Artificial Intelligence and Machine Learning in Clinical Data Management. Each webinar will begin with a presentation, followed by a walk-through example and Q&A. ACDM members can attend the sessions for free; non-members can register for £95.
Types of Machine Learning
On July 1, from 12 to 1 p.m. UK time, Tim Armitage, Executive Director of Business Solutions at Anju Software, will host a Lunch & Learn session on different types of Machine Learning. This session will aim to demystify Machine Learning and provide you with an introduction to supervised and unsupervised learning, including how to assess model performance and examples.
Applications of Machine Learning for Clinical Data Managers
On August 5, from 12 to 1 p.m. UK time, Tim Armitage will host the last ACDM Lunch & Learn session on the applications of Machine Learning in Clinical Data Management together with Jennifer Bradford from Phastar and Marcus Schwabedissen from Q-FINITY Quality Management. They will present an overview of the data preparation for AI approaches, the tools currently available, and use cases.
Register and Join Us on July 1 and August 5
Want to join the discussion? Book your seat here. Registration is free for ACDM members and costs £95 for non-members.
How do we solve Pharma’s Data Dysfunction Conundrum?
In the mood for a foretaste about our view on how automated, adaptive analytics can solve pharma’s data dysfunction conundrum? Read Anju Software’s thought piece for ACDM here.