Area of research
Hepatology · Radiology, Nuclear Medicine and Imaging
Research interest
Research focused on CRISPR and Convolutional neural network, with related work in PDCA, Tumor microenvironment, Breast cancer. Notable publications include 'Design of a self-driven probiotic-CRISPR/Cas9 nanosystem for sono-immunometabolic cancer therapy', 'Decoding the molecular subtypes of breast cancer seen on multimodal ultrasound images using an assembled convolutional neural network model: A prospective and multicentre study', and 'Three-dimensional convolutional neural network model to identify clinically significant prostate cancer in transrectal ultrasound videos: a prospective, multi-institutional,...'.
Application of PDCA cycle management in the rational use of perioperative antimicrobial prophylaxis in orthopedic clean surgery
Three-dimensional convolutional neural network model to identify clinically significant prostate cancer in transrectal ultrasound videos: a prospective, multi-institutional, diagnostic study
Risk stratification of gallbladder masses by machine learning-based ultrasound radiomics models: a prospective and multi-institutional study
Design of a self-driven probiotic-CRISPR/Cas9 nanosystem for sono-immunometabolic cancer therapy
Decoding the molecular subtypes of breast cancer seen on multimodal ultrasound images using an assembled convolutional neural network model: A prospective and multicentre study