no code implementations • 3 May 2024 • Minhui Yu, Mengqi Wu, Ling Yue, Andrea Bozoki, Mingxia Liu
Magnetic resonance imaging (MRI) and positron emission tomography (PET) are increasingly used in multimodal analysis of neurodegenerative disorders.
no code implementations • 23 Apr 2024 • Ling Yue, Tianfan Fu
Large Language Models (LLMs) and multi-agent systems have shown impressive capabilities in natural language tasks but face challenges in clinical trial applications, primarily due to limited access to external knowledge.
no code implementations • 20 Apr 2024 • Ling Yue, Jonathan Li, Md Zabirul Islam, Bolun Xia, Tianfan Fu, Jintai Chen
The clinical trial process, also known as drug development, is an indispensable step toward the development of new treatments.
1 code implementation • 15 Nov 2023 • Yongqi Zhang, Quanming Yao, Ling Yue, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng
Accurately predicting drug-drug interactions (DDI) for emerging drugs, which offer possibilities for treating and alleviating diseases, with computational methods can improve patient care and contribute to efficient drug development.
2 code implementations • 22 Oct 2023 • Zhen Hao Wong, Ling Yue, Quanming Yao
Graph Neural Networks (GNNs) have shown success in various fields for learning from graph-structured data.
Ranked #1 on Link Property Prediction on ogbl-ddi
2 code implementations • 13 Oct 2023 • Ling Yue, Yongqi Zhang, Quanming Yao, Yong Li, Xian Wu, Ziheng Zhang, Zhenxi Lin, Yefeng Zheng
Knowledge graph (KG) embedding is a fundamental task in natural language processing, and various methods have been proposed to explore semantic patterns in distinctive ways.
Ranked #1 on Link Property Prediction on ogbl-biokg
no code implementations • 24 Jun 2022 • Hao Guan, Ling Yue, Pew-Thian Yap, Shifu Xiao, Andrea Bozoki, Mingxia Liu
Meanwhile, the brain disease related regions can be highlighted by the attention mechanism.