117 citations · 581 across the 10 of their papers we have counts for
10 papers
The Potential and Pitfalls of using a Large Language Model such as ChatGPT or GPT-4 as a Clinical Assistant
Jingqing Zhang, Kai Sun, Akshay Jagadeesh +5
Recent studies have demonstrated promising performance of ChatGPT and GPT-4 on several medical domain tasks. However, none have assessed its performance using a large-scale real-wo…
XOmiVAE: an interpretable deep learning model for cancer classification using high-dimensional omics data
Eloise Withnell, Xiaoyu Zhang, Kai Sun +1
The lack of explainability is one of the most prominent disadvantages of deep learning applications in omics. This "black box" problem can undermine the credibility and limit the p…
OmiEmbed: a unified multi-task deep learning framework for multi-omics data
Xiaoyu Zhang, Yuting Xing, Kai Sun +1
High-dimensional omics data contains intrinsic biomedical information that is crucial for personalised medicine. Nevertheless, it is challenging to capture them from the genome-wid…
A Blockchain-based Trust System for Decentralised Applications: When trustless needs trust
Nguyen Truong, Gyu Myoung Lee, Kai Sun +2
Blockchain technology has been envisaged to commence an era of decentralised applications and services (DApps) without the need for a trusted intermediary. Such DApps open a market…
Privacy Preservation in Federated Learning: An insightful survey from the GDPR Perspective
Nguyen Truong, Kai Sun, Siyao Wang +2
Along with the blooming of AI and Machine Learning-based applications and services, data privacy and security have become a critical challenge. Conventionally, data is collected an…
Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health Records
Jingqing Zhang, Xiaoyu Zhang, Kai Sun +3
The extraction of phenotype information which is naturally contained in electronic health records (EHRs) has been found to be useful in various clinical informatics applications su…