Oral Health Research Connect - December 2025 - Guest Speakers: Prof Yin Xiao and Dr Eduardo Delamare

Abstract

The Oral Health Research Connect (OHRC) seminar series, organised by the Sydney Dental School, aims to foster a culture of research across the school, it’s partner Local Health Districts and other oral health stakeholders.

The OHRC will achieve this through engagement and collaboration in a respectful, safe, constructive and positive discussion. It will be a research capacity and capability development opportunity for students, academics and clinicians. It will serve as a nexus for idea generation and research translation.

Our Guest Speakers & Presentation Topic • Regenerative Dentistry: Opportunities and Challenges- Prof Yin Xiao Regenerative dentistry is an emerging field that applies principles of tissue engineering, stem cell biology, biomaterials science, and molecular biology to restore the structure and function of dental and oral tissues lost to disease, trauma, or congenital anomalies. It aims to go beyond traditional restorative approaches by promoting biological regeneration rather than synthetic replacement. While regenerative dentistry holds great promise, challenges remain in translating benchside innovations to routine clinical practice. These include Ensuring long-term safety and efficacy of stem cell-based therapies; Standardizing manufacturing of scaffolds and biologics under GMP conditions; Navigating regulatory pathways for advanced therapeutic medicinal products (ATMPs; Achieving predictable clinical outcomes in complex oral environments. Despite these challenges, regenerative dentistry represents the future of oral health care, with the potential to revolutionize the management of dental diseases by enabling biologically driven restoration and tissue renewal.

• Applications of Rule-Based Reasoning Strategies to Address Limitations of AI Systems in DMFR-Dr Eduardo Delamare Dr Delamare will present a segment of his PhD research discussing innovative strategies to overcome the interpretability and explainability limitations of AI-based tools when used in diagnostic tasks across dental applications. By incorporating classic surface mapping tools into AI-based segmentations, these systems intend to offer higher reliability and facilitate adoption in clinical practice. The discussion will delve into specific methodologies that integrate traditional diagnostic techniques with cutting-edge AI algorithms to enhance accuracy and clinician confidence. Participants will gain insights into case studies demonstrating the practical application of these strategies, highlighting improvements in diagnostic precision. Furthermore, the session will address challenges faced during implementation and provide guidelines for effective integration of these AI-enhanced tools into routine dental workflows, aiming to bridge the gap between technology development and real-world clinical utility.