Trial: Diagnosing Fungal Infections by Artificial Intelligence - Development of a Refined Database Software Platform
Grant Data
Project Title
Trial: Diagnosing Fungal Infections by Artificial Intelligence - Development of a Refined Database Software Platform
Principal Investigator
Professor Teng, Lee Lee
(Principal Investigator (PI))
Duration
24
Start Date
2024-04-01
Amount
1166922
Conference Title
Trial: Diagnosing Fungal Infections by Artificial Intelligence - Development of a Refined Database Software Platform
Keywords
Trial, Diagnosing Fungal Infections, Artificial Intelligence, Development, Refined Database Software Platform
Discipline
Dentistry
HKU Project Code
ITT/017/23GP
Grant Type
Public Sector Trial Scheme (Year 2023/24)
Funding Year
2024
Status
On-going
Objectives
The proposed trial project will focus on the refinement and evaluation of the sequence recognition software database using the sequence matching method for the automated identification of fungal species. The project will involve two parts, (1) expansion of the developed sequence recognition software database by the addition of fungal sequences of the two DNA markers benA and CaM, based on all medically important fungi as listed in the Atlas of Clinical Fungi; (2) evaluation of the usefulness of the refined sequence recognition software database using a total of 200 fungal strains isolated by the participating organisation