Advancing clinical trials and translational research requires transforming biological insights and raw research data into clean, actionable data for integration, visualization, and analysis. The Clinical Research and Translational Informatics track explores new and innovative tools and techniques—including big data analytics, machine learning, and artificial intelligence—and how they can be leveraged to address specific challenges faced across the drug discovery spectrum to accelerate the translation of scientific discoveries from the bench to medical care. Gain practical recommendations and real-world insights from case studies across pharma and academia. Actionable insights require making the results of complex analysis readily convertible into the common workflows of the clinician and researcher. How do you approach this problem?

Preliminary Agenda

LEVERAGING DATA AND ANALYTICS FOR IMPROVED INSIGHTS ACROSS R&D

Advancing Pharma R&D with Digital Health and AI-Enabled Insights

Ray Liu, Senior Director, Advanced Analytics and Statistical Consultation, Takeda

A Comprehensive Platform for Innovation with Data

Ajay Shah, PhD, Executive Director & Head of IT for Translational Medicine, Bristol-Myers Squibb

Enabling the Connection between Pre-Clinical and Clinical Data

Michael Lange, ML/AI Lead, R&D Informatics, Small Molecule Discovery Informatics, Roche

ANALYTIC AND VISUALIZATION TOOLS FOR IMPROVED DATA INSIGHTS

Clinical Data Visualizations to Drive Clinical and Biomarker Exploration Using Both Clinical Trial and Real-World Data

Phillip Ross, Director, Head of Translational Bioinformatics Data Science, Bristol-Myers Squibb

The Global Substance Registration System (GSRS): an Essential Tool for Structuring Translational Clinical and Regulatory Data

Larry Callahan, PhD, Chemist, Office of Health Informatics, Global Substance Registration System/Office of Health Informatics/Office of Chief Scientist, FDA

REAL-WORLD DATA

PANEL DISCUSSION: Big Data Meets RWE: There are Elephants in the Room!

Moderator:
Michael Liebman, PhD, Managing Director, IPQ Analytics, LLC

Digital Process Automation for Clinical Studies

Alan Rogerson, Information Manager, Early Development Informatics, Roche Pharmaceuticals

Accelerating Data Discovery across Clinical and Real-World Datasets

Al Wang, Head, IT Business Partner, Translational Research & Technologies, BMS

Advancing Precision Medicine with a Complete Bioinformatics Ecosystem

Brandi Davis-Dusenbery, PhD, CSO, Seven Bridges