Gordon Research Conference 2024 – Toward Functional Lipidomics: Structure Elucidation, Quantification, Data Integration and Clinical Translation
Applications for this meeting must be submitted by April 7, 2024. Please apply early, as some meetings become oversubscribed (full) before this deadline. If the meeting is oversubscribed, it will be stated here. Note: Applications for oversubscribed meetings will only be considered by the conference chair if more seats become available due to cancellations.
The Lipidomics 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scientific conference focused on advancing the frontiers of science through the presentation of cutting-edge and unpublished research, prioritizing time for discussion after each talk and fostering informal interactions among scientists of all career stages.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 a diverse range 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.
Lipidomics is a dynamic and rapidly evolving field that aims to comprehensively study lipid molecules in cells, tissues, and biofluids. By unraveling lipid profiles, this approach can provide essential insights into biological function, health, and disease. The conference focuses on cutting-edge methodologies that provide unmatched coverage of the structural details of lipid molecules, metabolic tracing, and single-cell imaging, and their application from basic research to clinical diagnostics. The second conference in this series will continue to explore the standardization of the field, which is essential for fully realizing the potential of lipidomics. This will include the development of software tools and the integration of data with other omics disciplines.