16 citations · 19 across the 4 of their papers we have counts for
4 papers
UniD: A Knowledge Graph-Enhanced RAG Framework for Drug-Disease Discovery and Reasoning
Qing Wang, Tianshi Liu, Minghao Zhou +5
Systematic characterization of drug-disease relationships is essential for drug discovery and repurposing, yet is hindered by the heterogeneity and rapid growth of biomedical liter…
scDrugMap: Benchmarking Large Foundation Models for Drug Response Prediction
Qing Wang, Yining Pan, Minghao Zhou +4
Drug resistance presents a major challenge in cancer therapy. Single cell profiling offers insights into cellular heterogeneity, yet the application of large-scale foundation model…
HECLIP: Histology-Enhanced Contrastive Learning for Imputation of Transcriptomics Profiles
Qing Wang, Wen-jie Chen, Bo Li +3
Histopathology, particularly hematoxylin and eosin (H\&E) staining, plays a critical role in diagnosing and characterizing pathological conditions by highlighting tissue morphology…
From Pretraining to Privacy: Federated Ultrasound Foundation Model with Self-Supervised Learning
Yuncheng Jiang, Chun-Mei Feng, Jinke Ren +15
Ultrasound imaging is widely used in clinical diagnosis due to its non-invasive nature and real-time capabilities. However, traditional ultrasound diagnostics relies heavily on phy…