Area of research
Artificial Intelligence · Molecular Biology
Research interest
Research interests include Machine Learning in Healthcare, Computational Drug Discovery Methods, Biomedical Text Mining and Ontologies, and Bioinformatics and Genomic Networks.
A deep learning system for detecting silent brain infarction and predicting stroke risk
An adaptive AI-based virtual reality sports system for adolescents with excess body weight: a randomized controlled trial
An eyecare foundation model for clinical assistance: a randomized controlled trial
Inhaled bispecific single-domain antibody BM219 for mild-to-moderate COVID-19: a double-blind, randomized, placebo-controlled phase 2 trial
Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis
Primary retroperitoneal müllerian adenocarcinoma: a case report
The application of artificial intelligence in the management of sepsis
Chemical-induced gene expression ranking and its application to pancreatic cancer drug repurposing
A deep learning framework for high-throughput mechanism-driven phenotype compound screening and its application to COVID-19 drug repurposing
Examining the Drivers of Racial/Ethnic Disparities in Non-Adherence to Antihypertensive Medications and Mortality Due to Heart Disease and Stroke: A County-Level Analysis
Deep learning from “passive feeding” to “selective eating” of real-world data
Pattern recognition and prognostic analysis of longitudinal blood pressure records in hemodialysis treatment based on a convolutional neural network
Cell-specific prediction and application of drug-induced gene expression profiles
A clinical study of salvage radiotherapy for supraclavicular lymph node metastasis in patients with esophageal cancer
DDI-CPI, a server that predicts drug–drug interactions through implementing the chemical–protein interactome
Value of Transrectal Contrast-enhanced Ultrasound in Prostatic Biopsy
China Medical Devices 2013cited by 0position: first