Do you want to know the 4 elements that are changing our understanding of ECC? New knowledge from clinical studies, ‘omics, and machine learning bring inevitable paradigm shifts in our appreciation of children’s oral health and disease. Translating these new big data into simple yet precise algorithms is both the greatest challenge and the greatest opportunity. By attending this seminar, participants will become familiar with fundamental concepts, latest research, and integrative clinical, 'omics, and machine learning applications, aiming to better classify, predict, and manage ECC.

Learning Objectives:
Reflect on the strengths and limitations of the current case definition of ECC and appreciate the value of embracing a precise clinical disease classification system.
Understand the relevance and specific contributions of emerging omics information (e.g., human genome, oral microbiome, and metabolome) for the diagnosis, classification, and management of ECC.
Prepare for the advent of machine learning and other informatics applications that leverage clinical, behavioral, epidemiologic, and integrated omics information to inform clinical decision-making for the oral health care of children.