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Description

Abstract: Adverse drug reaction (ADR) is a major burden for patients and healthcare industry. Systems pharmacology, which involves the application of systems biology approaches, combining large-scale experimental studies with computational analytics, can enhance the understanding of ADRs by looking at the effects of a drug in the context of cellular networks as well as exploring relationships between drugs. Recent efforts in high throughput experiments have generated a huge amount of data across the multiple biological scales of the organism, across a wide range of time scales, and across multiple species. These data sets provide unprecedented opportunities for systems pharmacology, but impose great challenges in big data management, mining, and integration. Furthermore, to materialize the true potential and impact of systems pharmacology approaches, much work is needed to show that they can be successfully adopted into practical applications. In this panel, participants will summarize the recent advances in informatics and systems pharmacology for drug safety and identify challenges and opportunities. Panel participants will synthesize their perspectives on these key issues and likely future developments in this area, explore a diverse set of topics, and engage in thoughtful discussion with the audience.

Learning Objective 1: After participating in this session, the learner should be better able to:
● Recognize the benefits of applying systems pharmacology models for large-scale predictive drug safety
● Understand recent advances in concepts, methods, analytics, and new trend of systems pharmacology and its applications
● Gain knowledge of the usage of different drug safety data sources, understand the unique vantage point of each data source could provide, and unique strengths and limitations of each data source has
● Discuss current challenges and opportunities for large-scale predictive drug safety from informatics and systems pharmacology perspective

Authors:

Ping Zhang (Presenter)
IBM T.J. Watson Research Center

Keith Burkhart (Presenter)
FDA

Lang Li (Presenter)
Ohio State University

Avi Ma'ayan (Presenter)
The Icahn School of Medicine at Mount Sinai

Nicholas Tatonetti (Presenter)
Columbia University

Presentation Materials:

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