Innovation & Technology Fund

Grant & Fund
Expressions Summer 2024

Transferring research and development work to industries

Three research projects from the Faculty have secured funding through various programmes under the Innovation and Technology Fund. These funded projects are geared towards advancing knowledge, promoting innovation, and translating research findings into practical solutions for the industry. Ultimately their efforts are set to enhance oral health and overall well-being of individuals.

Innovation & Technology Support Programme

Principal Investigator

Professor Wei Qiao

Clinical Assistant Professor in Applied Oral Sciences & Community Dental Care

Project Title

The Development of a Smart Glucose-Responsive Hydrogel Dressing to Promote Diabetic Wound Healing Through the Modulation of Neuro-immune Axis

About the Project

Diabetic patients often experience non-healing wounds due to neuropathy and immune disorders. In our study, we aim to develop a smart wound dressing capable of spontaneously detect the blood glucose level to adjust the therapeutic delivery of magnesium ions for rescuing the malfunction of neuro-immune axis in diabetic patients.

Innovation & Technology Support Programme

Principal Investigator

Professor Zhou Ye

Assistant Professor in Biofunctional Materials

Project Title

Injectable ROS-Responsive Pro-drug-Conjugated Self-Assembling Antimicrobial Peptide Hydrogel for Long-Term Treatment of Periodontitis

About the Project

We will develop a smart injectable hydrogel formed by a single engineered molecule featuring three cohesive components: a self-assembling antimicrobial peptide, a ROS-responsive linker, and a covalently conjugated minocycline as the prodrug, for long-term treatment of periodontitis. This product will increase the long-term treatment success rate by minimising patient recalls and leveraging its precision medicine, multifunctional and biodegradable properties.

Public Sector Trial Scheme

Principal Investigator

Professor Jade Teng

Associate Professor in Molecular Microbiology

Project Title

Trial: Diagnosing Fungal Infections by Artificial Intelligence (AI) - Development of a Refined Database Software Platform

About the Project

The project aims to develop a software database platform that utilises AI technology and sequence recognition to electronically identify clinical fungi. The platform presents an efficient and cost-effective alternative to the conventional morphological comparison method, enabling early identification of fungal pathogens, facilitating prompt prescription of appropriate therapeutics.

BACK TO CONTENT