Artificial Intelligence/Machine Learning Application in Formulation of Novel Material Compositions and Visualization Design for Intensive Outreach and Education for Denture and Anti-snore Devices

Denture assemblies are oral appliances or prosthetic devices to replace missing teeth and restore oral function, speech, and aesthetics. The dentures market is driven by the senior population and demand, which is expected to grow by 68% in the next 20 years according to the Canadian Institute for Health Information. This demographic also often suffer from sleep-related breathing disorders, such as obstructive sleep apnea (OSA), exhibiting moderate to excessive snoring which is often ignored or neglected. This neglect can increase the risk of more severe health problems such as stroke, hypertension, chronic heart failure, diabetes, and many others. The major components of denture assemblies, namely, gum, artificial teeth, and framework, including clasps, are often connected with adhesives or bonded with mesh or serrated surfaces that help keep the denture components assembled. The host supervisor of this proposed project is part of a group of researchers at Carleton University working with industrial collaborators to find innovative solutions for improved materials, manufacturing, and designs to address several issues relating to cost, durability, and convenience with the products that are in the market today.

Faculty Supervisor:

Abu Syed Kabir;Tim Haats

Student:

Partner:

JK Lakshmipat University

Discipline:

Engineering

Sector:

Advanced Manufacturing; Artificial Intelligence; Biomanufacturing

University:

Carleton University

Program: