An online gene-expression-based Clinical Decision Support (CDS) platform with Generative Adversarial Network (GAN) and its application in predicting de novo metastasis in Nasopharyngeal Carcinoma (NPC)
Grant Data
Project Title
An online gene-expression-based Clinical Decision Support (CDS) platform with Generative Adversarial Network (GAN) and its application in predicting de novo metastasis in Nasopharyngeal Carcinoma (NPC)
Principal Investigator
Dr Hou, Zhaozheng
(Principal Investigator (PI))
Co-Investigator(s)
Professor Kwong Dora Lai Wan
(Co-Investigator)
Professor Lee Victor Ho Fun
(Co-Investigator)
Professor Dai Wei
(Co-Investigator)
Duration
24
Start Date
2024-07-01
Amount
500000
Conference Title
An online gene-expression-based Clinical Decision Support (CDS) platform with Generative Adversarial Network (GAN) and its application in predicting de novo metastasis in Nasopharyngeal Carcinoma (NPC)
Keywords
Clinical Decision Support, IT tool for Clinical, Generative Adversarial, Nasopharyngeal, De Novo Metastasis
Discipline
Others - Medicine, Dentistry and Health
HKU Project Code
11221746
Grant Type
Health and Medical Research Fund 2022
Funding Year
2022
Status
On-going
Objectives
To develop an on-line Clinical Decision Support (CDS) Platform that provides gene-expression-based prediction of De Novo metastasis in patients with nasopharyngeal carcinoma (NPC) using Generative Adversarial Network (GAN) to support clinical decision making. The trained GAN can also be used for research in other cancer or rare diseases.