Accurate species identification of food-contaminating beetles with quality-improved elytral images and deep learning.

BERT-Based Natural Language Processing of Drug Labeling Documents: A Case Study for Classifying Drug-Induced Liver Injury Risk.

DLI-IT: a deep learning approach to drug label identification through image and text embedding.

Bioactivity Signatures of Drugs vs. Environmental Chemicals Revealed by Tox21 High-Throughput Screening Assays.

A deep learning model to recognize food contaminating beetle species based on elytra fragments.

Study of serious adverse drug reactions using FDA-approved drug labeling and MedDRA.

Integrating Drug's Mode of Action into Quantitative Structure-Activity Relationships for Improved Prediction of Drug-Induced Liver Injury.

Relating Anatomical Therapeutic Indications by the Ensemble Similarity of Drug Sets.

T2D@ZJU: a knowledgebase integrating heterogeneous connections associated with type 2 diabetes mellitus.

CHD@ZJU: a knowledgebase providing network-based research platform on coronary heart disease.

Consensus Ranking Approach to Understanding the Underlying Mechanism With QSAR.