Xin DUAN

Biography

Dr. Xin DUAN was a postdoctoral researcher in School of Biomedical Engineering of Sun Yat-sen University. His research interest includes medical image analysis, cancer molecular subtyping. He is currently researching and designing the development of high-throughput in vivo biological (zebrafish) sensing technologies and platforms based on microfluidics and ultrafast optical imaging technologies, and combining them with artificial intelligence technologies for the precise screening of targeted drugs. Now, he continues his academic career at the Shenzhen Campus of Sun Yat-sen University.

Biography

Research Interests

Education

Highlighted publications

Predicting treatment response from longitudinal images using multi-task deep learning

All related publications

Translating Molecular Subtypes into Cost-Effective Radiogenomic Biomarkers for Prognosis of Colorectal Cancer

An immune, stroma, and epithelial--mesenchymal transition-related signature for predicting recurrence and chemotherapy benefit in stage II--III colorectal cancer

CT-based radiogenomic analysis dissects intratumor heterogeneity and predicts prognosis of colorectal cancer: a multi-institutional retrospective study

DNA Repair–Related Gene Signature in Predicting Prognosis of Colorectal Cancer Patients

Dissecting Cellular Heterogeneity Based on Network Denoising of scRNA-seq Using Local Scaling Self-Diffusion

Identifying an immune-related gene-pair for prognosis prediction of metastatic colorectal cancer.

Deep learning to identify a gene signature associated with molecular subtypes that predicts prognosis in colorectal cancer.

Predicting treatment response from longitudinal images using multi-task deep learning

A metabolism-related radiomics signature for predicting the prognosis of colorectal cancer

Multiomics-based colorectal cancer molecular subtyping using local scaling network fusion

Integrating diffusion components of multi-omics datasets with application to cancer molecular subtyping

Roscovitine enhances All-trans retinoic acid (ATRA)-induced leukemia cell differentiation: Novel effects on signaling molecules for a putative Cdk2 inhibitor

Roscovitine enhances all-trans retinoic acid (ATRA)-induced nuclear enrichment of an ensemble of activated signaling molecules and augments ATRA-induced myeloid cell differentiation

Multiomics-Based Colorectal Cancer Molecular Subtyping Using Local Scaling Network Fusion

Dissecting cancer heterogeneity based on dimension reduction of transcriptomic profiles using extreme learning machines

Poor-prognosis nasopharyngeal carcinoma as defined by a molecularly distinct subgroup and prediction by a miRNA expression signature