2021Nature Communications
Team

Biography
Dr. Xin DUAN was a postdoctoral researcher in the School of Biomedical Engineering at Sun Yat-sen University. His research spans medical image analysis, cancer molecular subtyping, microfluidics, ultrafast optical imaging, and artificial intelligence for targeted-drug screening. He later continued his academic work at the university's Shenzhen campus.
Research Interests
- Medical Images
- Artificial Intelligence
Education
- PhD in College of AutomationHarbin Engineering University2016 - 2020
- Visiting Student in Department of Biomedical SciencesCity University of Hong Kong2015 - 2018
- MEng in College of AutomationHarbin Engineering University2012 - 2015
- BEng in College of AutomationHarbin Engineering University2008 - 2012
Lab highlights
Highlighted publications
All related publications
Journal ArticleJan 14, 2026Diagnostics
Translating Molecular Subtypes into Cost-Effective Radiogenomic Biomarkers for Prognosis of Colorectal Cancer
Journal ArticleApr 1, 2023Cancer Medicine
An immune, stroma, and epithelial--mesenchymal transition-related signature for predicting recurrence and chemotherapy benefit in stage II--III colorectal cancer
Journal ArticleDec 8, 2022Journal of Translational Medicine
CT-based radiogenomic analysis dissects intratumor heterogeneity and predicts prognosis of colorectal cancer: a multi-institutional retrospective study
Journal ArticleMar 11, 2022Frontiers in Genetics
DNA Repair–Related Gene Signature in Predicting Prognosis of Colorectal Cancer Patients
Journal ArticleJan 11, 2022Frontiers in Genetics
Dissecting Cellular Heterogeneity Based on Network Denoising of scRNA-seq Using Local Scaling Self-Diffusion
Conference PaperMay 20, 2021Journal of Clinical Oncology
Deep learning to identify a gene signature associated with molecular subtypes that predicts prognosis in colorectal cancer.
Conference PaperMay 20, 2021Journal of Clinical Oncology
Identifying an immune-related gene-pair for prognosis prediction of metastatic colorectal cancer.
Journal ArticleMar 25, 2021Nature Communications
Predicting treatment response from longitudinal images using multi-task deep learning
Journal ArticleJan 7, 2021Frontiers in Molecular Biosciences
A metabolism-related radiomics signature for predicting the prognosis of colorectal cancer
Journal ArticleAug 1, 2020Journal of Computational Biology
Multiomics-based colorectal cancer molecular subtyping using local scaling network fusion
Conference PaperJul 13, 2020Intelligent Systems for Molecular Biology
Integrating diffusion components of multi-omics datasets with application to cancer molecular subtyping
Journal ArticleJul 1, 2020Cellular Signalling
Roscovitine enhances All-trans retinoic acid (ATRA)-induced leukemia cell differentiation: Novel effects on signaling molecules for a putative Cdk2 inhibitor
Journal ArticleMar 24, 2020Oncotarget
Roscovitine enhances all-trans retinoic acid (ATRA)-induced nuclear enrichment of an ensemble of activated signaling molecules and augments ATRA-induced myeloid cell differentiation
Journal ArticleDec 4, 2019Journal of Computational Biology
Multiomics-Based Colorectal Cancer Molecular Subtyping Using Local Scaling Network Fusion
Journal ArticleSep 14, 2018PLoS ONE
Dissecting cancer heterogeneity based on dimension reduction of transcriptomic profiles using extreme learning machines
Conference PaperMay 17, 2017Journal of Clinical Oncology