6 citations · 7 across the 5 of their papers we have counts for
6 papers
Lingdan-V2: Large language models for clinically grounded reasoning in traditional Chinese medicine
Rui Hua, Yu Wei, Ziri Jin +15
Large language models have advanced medical reasoning, but clinically grounded reasoning in traditional Chinese medicine (TCM) remains challenging because prescription decisions re…
LingShu: A Large-Scale Symptom-Centric Contextualized Knowledge Graph Bridging Traditional Chinese Medicine and Modern Biomedicine
Rui Hua, Zixin Shu, Kai Chang +18
Biomedical knowledge graphs (KGs) are pivotal for knowledge organization, yet traditional binary relations often struggle to represent the conditional nature of biomedical knowledg…
LingLanMedBench: A Unified Benchmark for Evaluating Large Language Models in Traditional Chinese Medicine
Rui Hua, Yu Wei, Zixin Shu +33
Reliable evaluation of large language models in traditional Chinese medicine remains limited because existing benchmarks mainly focus on examination-style question answering or iso…
ISPO: An Integrated Ontology of Symptom Phenotypes for Semantic Integration of Traditional Chinese Medical Data
Zixin Shu, Rui Hua, Dengying Yan +20
Symptom phenotypes are one of the key types of manifestations for diagnosis and treatment of various disease conditions. However, the diversity of symptom terminologies is one of t…
Knowledge Graph Completion based on Tensor Decomposition for Disease Gene Prediction
Xinyan Wang, Ting Jia, Chongyu Wang +5
Accurate identification of disease genes has consistently been one of the keys to decoding a disease's molecular mechanism. Most current approaches focus on constructing biological…
Network medicine framework reveals generic herb-symptom effectiveness of Traditional Chinese Medicine
Xiao Gan, Zixin Shu, Xinyan Wang +8
Traditional Chinese medicine (TCM) relies on natural medical products to treat symptoms and diseases. While clinical data have demonstrated the effectiveness of selected TCM-based…