Publication & Citation Trends
Publications
0 total
A random-walk-based learning framework to uncover novel gene candidates for Alzheimer's disease therapy.
Cited by 0
Semantic Scholar
ESCARGOT: an AI agent leveraging large language models, dynamic graph of thoughts, and biomedical knowledge graphs for enhanced reasoning OA
Cited by 15
Semantic Scholar
TH17 cells converted into exTH17 cells sustain rheumatoid-like IL-17-independent inflammatory arthritis.
Cited by 1
Semantic Scholar
Drug repurposing for Alzheimer’s disease using a graph-of-thoughts based large language model to infer drug-disease relationships in a comprehensive knowledge graph
Cited by 2
Semantic Scholar
KRAGEN: a knowledge graph-enhanced RAG framework for biomedical problem solving using large language models OA
Cited by 76
Semantic Scholar
Biologically Enhanced Machine Learning Model to uncover Novel Gene-Drug Targets for Alzheimer's Disease.
Cited by 4
Semantic Scholar
Using machine learning to predict outcomes of patients with blunt traumatic aortic injuries
Cited by 6
Semantic Scholar
SynTwin: A graph-based approach for predicting clinical outcomes using digital twins derived from synthetic patients
Cited by 11
Semantic Scholar
Research Topics
Bladder and Urothelial Cancer Treatments
(66)
Urinary Bladder and Prostate Research
(41)
Kidney Stones and Urolithiasis Treatments
(30)
Urinary and Genital Oncology Studies
(29)
Epigenetics and DNA Methylation
(27)
Affiliations
Hebei Agricultural University
Jiangnan University
Agency for Science, Technology and Research
Guangzhou University of Chinese Medicine
Liaoning University