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McCormick Place

2017年6月18日 (日) 午前 8:30 - 2017年6月22日 (木) 午後 12:45

2301 South Martin Luther King Jr. Drive, Gate 4, Chicago, IL 60616

DIA 2017 Annual Meeting

Next Generation Predictive Analytics

Session Chair(s)

Lucas  Glass, MA, MS

Lucas Glass, MA, MS

Vice President of Analytics Center of Excellence

IQVIA, United States

How can sophisticated predictive analytic tools transform product development and supply? Can we go beyond standard analytic techniques? Clinical trial optimization and enrollment? Can we forecast clinical trial outcomes? How do we anticipate problems before they arise?

Learning Objective : Recognize an awareness of capabilities for predictive analytics and how success can drive efficiency in product development.

Speaker(s)

Lucas  Glass, MA, MS

Real-World Data and Machine Learning to Predict Study Enrollment Rates During Early Planning

Lucas Glass, MA, MS

IQVIA, United States

Vice President of Analytics Center of Excellence

Petra  Lebeau, DRSC

With Our Powers Combined: Using Predictive Analytics for Boosting Model Accuracy and Future Applications

Petra Lebeau, DRSC

Rho, Inc., United States

Senior Biostatistician

Aris  Persidis, PHD

Looking Beyond What's Already Known to Map Future Clinical Outcomes

Aris Persidis, PHD

Biovista Inc., United States

President

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