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
Legal and Regulatory Analysis
(140)
Linguistic, Cultural, and Literary Studies
(140)
Military Technology and Strategies
(140)
Wastewater Treatment and Nitrogen Removal
(23)
Microbial Community Ecology and Physiology
(19)
Affiliations
École Centrale de Nantes
Agency for Science, Technology and Research
Jiangsu University
Tongji University
Inner Mongolia Agricultural University