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The Machines are Here! Learn About Real Uses of Machine Learning and Artificial Intelligence in Pharma
Session Chair(s)
Stacey Yount, MA
Vice President, Product, Medidata Solutions, United States
Artificial Intelligence (AI) and Machine Learning ML) have become buzzwords in every industry. While most of AI's potential is yet to be reached, pharma is starting to see tangible benefits that can be applied across the industry. This session will discuss new technologies and methods leveraging AI and ML to transform aspects of MedDRA coding, WHO drug coding, and data quality.
Learning Objective : Explain and contrast the definitions of Artificial Intelligence and Machine Learning; Describe how AI has impacted MedDRA coding; Discuss how to review ways in which AI has been implemented to improve the efficiency and accuracy of WHO drug coding and the challenges experienced along the way; Identify how pharmaceutical companies and CROs have leveraged machine learning technology to improve data quality and overall drug submission success.
Speaker(s)
Cartic Ramakrishnan, PhD
Senior Technical Staff Member, Lead Cognitive Scientist, Life Sciences, IBM Watson Health, United States
Introduction to Artificial Intelligence and Machine Learning: Application for MedDRA Coding
Malin Jakobsson, MPharm, RPh
Portfolio Officer, Uppsala Monitoring Centre, Sweden
How Can We Optimize the Use of Machine Learning for Increased Efficiency in Drug Coding?
Stacey Yount, MA
Vice President, Product, Medidata Solutions, United States
The Use of Machine Learning to Transform Clinical Trial Data Quality and Efficiency
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