Feng GAO

Feng GAO

Associate Professor

Sun Yat-sen University



Dr. Feng Gao is currently an Associate Professor in the Department of Colorectal Surgery at the Sixth Affiliated Hospital, supported by Sun Yat-sen University’s prestigious 100 Top Talents Program. Initially trained as a computer engineer, Dr. Gao briefly worked in engineering before transitioning to a role in finance. He later pursued a Ph.D. in cancer research, focusing on the integration of advanced artificial intelligence and big data technologies. As a core member of the ICGC-ARGO CRC project, his primary research interest lies in developing AI-driven solutions for the diagnosis and prognosis of colorectal cancer. He is also keenly interested in applying cutting-edge technologies to other medical fields, including diabetes, reproductive health, pediatrics, and dentistry.

Interests

  • Artificial Intelligence
  • Colorectal Cancer

Education

  • Joint PhD in Cancer Biology and Bioinformatics, 2015 - 2018

    City University of Hong Kong & Cornell University

  • Visiting Student in Computer Science and Electronic Engineering, 2007 - 2008

    Kumamoto University

  • BEng in Computer Science and Technology, 2005 - 2009

    Shandong University

Publications

Deciphering tertiary lymphoid structure heterogeneity reveals prognostic signature and therapeutic potentials for colorectal cancer: a multicenter retrospective cohort study
TMO-Net: an explainable pretrained multi-omics model for multi-task learning in oncology
Cross-Level Contrastive Learning and Consistency Constraint for Semi-Supervised Medical Image Segmentation
Structure Embedded Nucleus Classification for Histopathology Images
Genome-wide study reveals novel roles for formin-2 in axon regeneration as a microtubule dynamics regulator and therapeutic target for nerve repair
Senescence-based colorectal cancer subtyping reveals distinct molecular characteristics and therapeutic strategies
Segmentation Only Uses Sparse Annotations: Unified Weakly and Semi-Supervised Learning in Medical Images
A Transcription Factor Signature Can Identify the CMS4 Subtype and Stratify the Prognostic Risk of Colorectal Cancer
Multi-Size Deep Learning Based Preoperative Computed Tomography Signature for Prognosis Prediction of Colorectal Cancer
The growth pattern of liver metastases on MRI predicts early recurrence in patients with colorectal cancer: a multicenter study
DNA Repair–Related Gene Signature in Predicting Prognosis of Colorectal Cancer Patients
A microRNA-based liquid biopsy signature for the early detection of esophageal squamous cell carcinoma: a retrospective, prospective and multicenter study
Dissecting Cellular Heterogeneity Based on Network Denoising of scRNA-seq Using Local Scaling Self-Diffusion
The enhanced cell cycle related to the response to adjuvant therapy in pancreatic ductal adenocarcinoma
Identification of an Autophagy-Related Gene Signature for the Prediction of Prognosis in Early-Stage Colorectal Cancer
Cancer-associated fibroblasts impact the clinical outcome and treatment response in colorectal cancer via immune system modulation: a comprehensive genome-wide analysis
Genome-Wide Analysis Reveals Hypoxic Microenvironment Is Associated With Immunosuppression in Poor Survival of Stage II/III Colorectal Cancer Patients
Predicting treatment response from longitudinal images using multi-task deep learning
A novel cell-free DNA methylation-based model improves the early detection of colorectal cancer
Identification of prognostic spatial organization features in colorectal cancer microenvironment using deep learning on histopathology images
Protein-protein interaction analysis reveals a novel cancer stem cell related target TMEM17 in colorectal cancer
A Metabolism-Related Radiomics Signature for Predicting the Prognosis of Colorectal Cancer
Immune-related gene signature in predicting prognosis of early-stage colorectal cancer patients
Hippo-YAP signaling controls lineage differentiation of mouse embryonic stem cells through modulating the formation of super-enhancers
Integrating diffusion components of multi-omics datasets with application to cancer molecular subtyping
Development of a novel liquid biopsy test to diagnose and locate gastrointestinal cancers
Automatic and Interpretable Model for Periodontitis Diagnosis in Panoramic Radiographs
Development and validation of an individualized gene expression-based signature to predict overall survival in metastatic colorectal cancer
Immune-related gene signature for predicting the prognosis of head and neck squamous cell carcinoma
Multiomics-Based Colorectal Cancer Molecular Subtyping Using Local Scaling Network Fusion
A signature of hypoxia-related factors reveals functional dysregulation and robustly predicts clinical outcomes in stage I/II colorectal cancer patients
Long-Read RNA Sequencing Identifies Alternative Splice Variants in Hepatocellular Carcinoma and Tumor-Specific Isoforms
An immune-related gene pairs signature predicts overall survival in serous ovarian carcinoma
DeepCC: a novel deep learning-based framework for cancer molecular subtype classification
An immune-related gene signature predicts prognosis of gastric cancer
Gene Expression Signature in Surgical Tissues and Endoscopic Biopsies Identifies High-Risk T1 Colorectal Cancers
Immune-related gene signature in predicting prognosis of early-stage colorectal cancer patients
Pathway analysis of hypoxia-related factors in early colorectal cancer patients with poor prognosis
RNAMethyPro: a biologically conserved signature of N6-methyladenosine regulators for predicting survival at pan-cancer level
Genome-wide Discovery of a Novel Gene-expression Signature for the Identification of Lymph Node Metastasis in Esophageal Squamous Cell Carcinoma
A genomewide transcriptomic approach identifies a novel gene expression signature for the detection of lymph node metastasis in patients with early stage gastric cancer
Retinoic acid and 6-formylindolo(3,2-b)carbazole (FICZ) combination therapy reveals putative targets for enhancing response in non-APL AML
High-throughput three-dimensional chemotactic assays reveal steepness-dependent complexity in neuronal sensation to molecular gradients
Dissecting cancer heterogeneity based on dimension reduction of transcriptomic profiles using extreme learning machines
Genome-wide Discovery and Identification of a Novel miRNA Signature for Recurrence Prediction in Stage II and III Colorectal Cancer
A Novel Non-Invasive Circulating Mirna Signature for Detection of Esophageal Adenocarcinoma
A MicroRNA Signature Associated With Metastasis of T1 Colorectal Cancers to Lymph Nodes
Poor-prognosis nasopharyngeal carcinoma as defined by a molecularly distinct subgroup and prediction by a miRNA expression signature
Identification, Development and Validation of a Circulating Mirna-Based Diagnostic Signature for Early Detection of Gastric Cancer
A Novel Mirna Signature for the Detection of Lymph Node Metastasis in Submucosal Colorectal Cancer Patients
A Novel Mirna-Based, Non-Invasive, Diagnostic Panel for Detection of Esophageal Squamous Cell Carcinoma
Genome-Wide Analysis Revealed a Robust Gene Expression Signature to Identify Lymph Node Metastasis in Submucosal Colorectal Cancer
Genome-wide discovery and identification of a novel microrna signature for recurrence prediction in colorectal cancer