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Tuesday, June 25 • 4:15pm - 5:30pm
#286: The Machines are Here! Learn About Real Uses of Machine Learning and Artificial Intelligence in Pharma

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Component Type: Session
Level: Intermediate
CE: ACPE 1.25 Knowledge UAN: 0286-0000-19-629-L04-P; CME 1.25; IACET 1.25; RN 1.25

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 Objectives

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.

Chair

Stacey Yount, MA

Speaker

Introduction to Artificial Intelligence and Machine Learning: Application for MedDRA Coding
Cartic Ramakrishnan, PhD

How Can We Optimize the Use of Machine Learning for Increased Efficiency in Drug Coding?
Malin Jakobsson, MPharm, RPh

The Use of Machine Learning to Transform Clinical Trial Data Quality and Efficiency
Stacey Yount, MA



Speakers
avatar for Malin Jakobsson

Malin Jakobsson

Product Strategy Manager, Uppsala Monitoring Centre
Malin is Product Strategy Manager for WHODrug at Uppsala Monitoring Centre (UMC). She is a pharmacist by training and she has been working with WHODrug in different roles for twelve years, from data validation to production and now she is involved in the strategic development of the... Read More →
avatar for Cartic Ramakrishnan

Cartic Ramakrishnan

Senior Technical Staff Member, Lead Cognitive Scientist, Life Sciences, IBM Watson Health
Cartic Ramakrishnan is a research scientist with a background in NLP and Machine Learning. He serves as lead scientist at IBM Watson health developing solutions to problems in the biomedical and healthcare domain. Cartic's recent work has focused on the development of NLP systems... Read More →
avatar for Stacey Yount

Stacey Yount

Vice President, Product, Medidata Solutions
As Vice President of Product at Medidata, Stacey Yount is the leader for the CTMS and Risk Based Monitoring platform. With 20 years of experience in clinical research, Stacey is an expert in data management, pharmaceutical efficiency, clinical development, CRO operations, and innovation... Read More →


Tuesday June 25, 2019 4:15pm - 5:30pm
Room 1AB San Diego Convention Center 111 W Harbor Drive, San Diego, CA 92101 USA