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Join us at NIDCR’s FaceBase Symposium at IADR/AADOCR/CADR on March 14th | FaceBase

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Join us at NIDCR's FaceBase Symposium at IADR/AADOCR/CADR on March 14th

Published 06 March 2024

In honor of the National Institute of Dental and Craniofacial Research’s (NIDCR) milestone 75th anniversary, we invite you to attend an enlightening symposium at the 2024 General Session of the IADR/AADOCR/CADR in New Orleans, LA.

NIDCR75: Facilitating Multimodal Data-Driven Translational Research via FaceBase

When? March 14, 2024 | 8:00 a.m. – 9:30 a.m. CT
Where? Ernest N. Morial Convention Center, Room 294, New Orleans, LA

Overview Data-intensive research driven by machine learning and other data science methods have the potential to transform the field of dental, oral, and craniofacial (DOC) research through new discoveries and better understanding of existing paradigms, that can fill in knowledge gaps across the translational continuum. As research into DOC diseases and conditions increasingly generate large volumes of data of different types, the need for findable, accessible, interoperable, and reusable (FAIR) data and supporting infrastructure become even more apparent. In anticipation and preparation for this future powered by data-driven research, NIDCR established the FaceBase repository as a data hub for dental, oral, and craniofacial disease research. Over the years, FaceBase has grown to become a data repository compliant with the FAIR and TRUST principles that facilitates translational research in DOC and related diseases and conditions from both humans and model organisms.

In furtherance of the goal of facilitating translational research to expedite the delivery of data-driven solutions to DOC health, this symposium session will highlight studies with current and future data shared via FaceBase. The featured presentations will illustrate the power of integration of data with computational methods to make these connections along the translational continuum. This session will also include discussion on ways the data shared via FaceBase can be leveraged to drive new DOC research directions.


Lu Wang

Lu Wang, Ph.D.
Director, Translational Genetics & Genomics Program, NIH NIDCR

Jason Wan

Jason Wan, Ph.D.
Director, Mineralized Tissue Physiology Program, NIH NIDCR

Session Chairs:

Noffisat Oki

Noffisat Oki, Ph.D.
Director of the Data Science, Computational Biology, & Bioinformatics Program, NIDCR

Axel Visel

Axel Visel, Ph.D.
Deputy of Science Programs, DOE Joint Genome Institute, Lawrence Berkeley National Laboratory


Junichi Iwata

Data-Driven Approaches for Identification of Genetic and Epigenetic Factors Related to Craniofacial Birth Defects

Junichi Iwata, D.D.S., Ph.D.
Professor, The University of Texas School of Dentistry

Justin Cotney

Transcriptional and Chromatin Dynamics During Craniofacial Development Reveal Disease Related Genes and Loci

Justin Cotney, Ph.D.
Associate Professor, Genetics and Genome Sciences, UConn Health

Ross Whitaker

An Image-Based, Deep-Phenotyping Analysis Toolset, Repository, and Online Clinician Interface for Craniosynostosis

Ross Whitaker, Ph.D.
Professor, Scientific Computing and Imaging Institute, University of Utah

Christy McKinney

Opportunities for Training Data Scientists in Ghana: FaceBase and Beyond

Christy McKinney, Ph.D., M.P.H.
Associate Professor, School of Dentistry, University of Washington