The convergence of oral microbiome research and artificial intelligence (AI) is reshaping our understanding of oral health and disease. This session will explore how AI-driven tools are used to analyze complex microbial ecosystems, predict disease progression, and personalize preventive and therapeutic strategies in dentistry. Topics include machine learning applications in microbiome data analysis, predictive modeling of oral diseases, and the integration of microbiome profiles into clinical decision-making. Special emphasis will be placed on challenges such as data standardization, ethical considerations, and the translational potential of AI technologies. The session will highlight both the opportunities and limitations of leveraging AI in advancing oral microbiome science.

At the end of this program, participants will be able to:

Lecturer in the Department of Oral Medicine, Infection, and Immunity (OMII)
Harvard School of Dental Medicine

$25
Cancellations received 7 days prior to the webinar will be eligible for a full refund. 
Virtual Lecture
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Credit Designation: Harvard School of Dental Medicine (HSDM) is an ADA CERP Recognized Provider. ADA CERP is a service of the American Dental Association to assist dental professionals in identifying quality providers of continuing dental education. ADA CERP does not approve or endorse individual courses or instructors, nor does it imply acceptance of credit hours by boards of dentistry. HSDM designates this activity for 1 continuing education credit.