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ASCPT Conference 2023

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The ASCPT 2023 Annual Meeting will be held as an in-person event with an online component, March 22-24, at the Hyatt Regency in Atlanta, GA. Registrants for the in-person meeting will enjoy reuniting with friends and colleagues face-to-face, with more time to network. View the Preliminary Program for details on the Pre-Conference event and three days of robust content planned for the 2023 Annual Meeting.

ASCPT 2023 Pre-Conference
Advancing the Utilization of Real-World Data (RWD) and Real-World Evidence (RWE) in Clinical Pharmacology and Translational Research
Tuesday, March 21, 2023, 9:00 AM – 5:30 PM
Co-Sponsored by the IQ Consortium

Paulien Ravenstijn, PhD
Karen Yeo, PhD
Jing Liu, PhD
Additional Organizing Committee Members:
Mariam Ahmed, PhD
Pooja Manchandani, PhD
Anuradha Ramamoorthy, PhD
IQ RWE Workgroup: Rui Zhu, PhD, and Cyrus Ghobadi, MD, PhD
RWD and RWE have been routinely used in epidemiology, clinical practice, and post approval regulatory decisions. Despite the fact that there have been published examples and new regulatory guidelines in recent years, there remains a lack of general understanding on RWD and RWE and how this approach can be applied in clinical pharmacology and translational research.

This Pre-Conference experience will include state of the art presentations from a diverse panel of experts from academia, industry, and regulatory, access to presentations on selected case studies reflective of current practices for RWE/RWD in drug development, an interactive workshop to reinforce learnings of applications of RWE/RWE in drug development, poster presentations submitted by participants, and forward-looking panel discussion from global representatives.

Who Should Attend?
This Pre-Conference will be of significant interest to clinical pharmacologists and modeling communities in industry, regulatory, and academia as it has widespread application throughout.

Learning objectives:
To introduce the basics of RWD and RWE
To provide education on the data source, quality and analytics involved in generation of RWE from RWD
To discuss the necessary framework for application of RWD and RWE application in the scope of clinical pharmacology, translational research, drug development and approval