Area of research
Oncology · Surgery
Research interest
Research interests include Colorectal Cancer Surgical Treatments, Colorectal Cancer Treatments and Studies, Colorectal and Anal Carcinomas, and Colorectal Cancer Screening and Detection.
Development and Validation of Deep Learning Model for Intermediate-Stage Hepatocellular Carcinoma Survival with Transarterial Chemoembolization (MC-hccAI 002): a Retrospective, Multicenter, Cohort Study
Remodeling of the immune and stromal cell compartment by PD-1 blockade in mismatch repair-deficient colorectal cancer
Classification of Tumor Immune Microenvironment According to Programmed Death-Ligand 1 Expression and Immune Infiltration Predicts Response to Immunotherapy Plus Chemotherapy in Advanced Patients With NSCLC
Prognostic value of microRNAs in patients with small cell lung cancer: a meta-analysis
Neoadjuvant Modified FOLFOX6 With or Without Radiation Versus Fluorouracil Plus Radiation for Locally Advanced Rectal Cancer: Final Results of the Chinese FOWARC Trial
Modified FOLFOX6 With or Without Radiation Versus Fluorouracil and Leucovorin With Radiation in Neoadjuvant Treatment of Locally Advanced Rectal Cancer: Initial Results of the Chinese FOWARC Multicenter, Open-Label, Randomized Three-Arm Phase III Trial
Tumor volume reduction rate is superior to RECIST for predicting the pathological response of rectal cancer treated with neoadjuvant chemoradiation: Results from a prospective study
Conference:Preparing High School Students for AI-Transformed Service Careers Through Hands-On Robotics and Entrepreneurship
Convergence Accelerator Phase I (RAISE): Prepare the US labor Force for Future Jobs in the Hotel and Restaurant Industry: A hybrid Framework and Multi-Stakeholder Approach
CRII: SaTC: Efficient Secure Multiparty Computation of Large-Scale, Complex Protocols
U.S.-Based Student Support to Attend ACM SIGSPATIAL 2014
III: Small: AegisDB: Integrated Real-Time Geo-Stream Processing and Monitoring System: A Data-Type-Based Approach
SGER: Detecting and Maintaining Evolving Regions from Spatially and Temporally Varying Observations for Monitoring and Alerting
CRI: IAD Infrastructure for Environmental Monitoring and Modeling using Large-Scale Sensor Networks