Pharmaceutical R&D Informatics

Pharmaceutical R&D departments are at a crossroads – we have more technology and data than ever before, priming us for novel discoveries, yet there are still many challenges informatics strategies must address. The digitalization of the lab is at the forefront, and it necessitates quality data as well as knowledge management strategies, especially in the search for effective, real-world uses of AI and machine learning. We must also address how these new technologies are transforming day-to-day workflow and knowledge exchange, and what change management, investment, and regulatory strategies must be employed to make them successful. The Pharmaceutical R&D Informatics track will explore real-world projects related to digitalization, FAIR data, knowledge management systems, and artificial intelligence development and implementation, and how such initiatives are driving precision medicine.

Preliminary Agenda

ENABLING DIGITAL TRANSFORMATION OF PHARMA R&D

Digital Transformation Driving Precision Medicine

Anastasia Christianson, Vice President, R&D Operations and Oncology IT, Janssen

Digitalization of Pharma R&D: Meeting Goals in Drug Development

Dana Vanderwall, PhD, Director, Biology & Preclinical IT, Discovery IT, Bristol-Myers Squibb Company


Enabling Insights Through a Connected Laboratory Informatics Platformthermofisherscientific_no_tagline

Michael Huang, Product Manager, Digital Science, Thermo Fisher Scientific

KNOWLEDGE MANAGEMENT AND GLOBAL DATA PROJECTS

How to Hold onto Your Knowledge in an Agile World

Etzard Stolte, PhD, Global Head Knowledge Management PTD, F. Hoffmann-La Roche

 

 

Making the Most of Real World Data (RWD) with Natural Language Processing (NLP)linguamatics

Jane Reed, Senior Director, Life Science Strategy, Linguamatics

Global Data Management at Eisai

Janna Hutz, PhD, Senior Director, Head of Data Science & Scientific Infrastructure, Eisai

FAIR DATA DRIVING SCIENTIFIC DECISION-MAKING

Modern Approaches to Screening and Lead Discovery Drive Improved Success Rates in Drug DiscoveryPerkinElmer

David Gosalvez, PhD, Director of Cheminformatics, PerkinElmer

Umbrella: Providing FAIR Data Management from the Point of Entry

Frida Thorsteinsdottir, Head, Clinical & Biomarker Informatics, Roche

EXPLORATION TOOLS FOR DRUG DISCOVERY AND DEVELOPMENT

Powering Question-Driven Problem Solving to Improve the Chances of Finding New Medicines

Samiul Hasan, PhD, Scientific Analytics and Visualization Director, Data and Computational Sciences, GlaxoSmithKline

Computational Efforts on Drug Repurposing for Rare Diseases

Bin Li, PhD, Director, Computational Biology, Takeda Pharmaceutics

ACTIONABLE ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING PROGRAMS IN PHARMA R&D

Progress in Diagnosing Rare Disease Patients Leveraging NLP

Tom Defay, Senior Director, R&D Strategy and Alliances, SPMD, Strategy, Program Management and Data Sciences, Alexion

Accelerated Drug Development Using AI

Bino John, PhD, Associate Director, Data Science - Clinical Pharmacology & Safety Sciences, AstraZeneca R&D

Machine-learned Molecular Models for Protein Structure, Networks, and Design

Mohammed AlQuraishi, PhD, Systems Biology Fellow, Harvard Medical School


Platinum Sponsors

accenture

BenchlingNEW

Elsevier-square

L7-informatics

linguamatics

PerkinElmer

Weka