Conference Description
The Drug Metabolism GRC is a premier, international scientific conference focused on advancing the frontiers of science through the presentation of cutting-edge and unpublished research, prioritizing time for discussion after each talk and fostering informal interactions among scientists of all career stages. The conference program includes an array of speakers and discussion leaders from institutions and organizations worldwide, concentrating on the latest developments in the field. The conference is five days long and held in a remote location to increase the sense of camaraderie and create scientific communities, with lasting collaborations and friendships. In addition to premier talks, the conference has designated time for poster sessions from individuals of all career stages, and afternoon free time and communal meals allow for informal networking opportunities with leaders in the field.
Please note that, due to limited accommodations at this venue, guest housing is very limited. To request family/guest housing, please reach out to your Conference Operations Associate.
The topics, speakers, and discussion leaders for the conference sessions are displayed below. The conference chair is currently developing their detailed program, which will include the complete meeting schedule, as well as the talk titles for all speakers. The detailed program will be available by March 14, 2026. Please check back for updates.
Keynote Session: The Transformative Role of MPS and AI in Safety Testing and Drug Development
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Artificial Intelligence (AI) in Drug Metabolism and Clinical Pharmacology
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Implementation of New Approach Methodologies (NAMs) in Drug Development
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Transporter Science: Biomarkers, Proteomics, and Modeling
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The Science Behind Small Molecule Long-Acting Injectable (LAI) Therapeutics
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Technologies in Clinical Pharmacology
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Short Talks Selected from Poster Abstracts
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Beyond Xenobiotics: Endogenous Roles for Drug Metabolizing Enzymes and Transporters
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Patient-Centric Pharmacokinetics and Pharmacodynamics in Specific Populations
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