Feng GAO

Feng GAO

Professor

Biography

Dr. Feng Gao is a Professor of Colorectal Surgery at the Sixth Affiliated Hospital of Sun Yat-sen University, a position supported by the university’s prestigious 100 Top Talents Program. After initial training in computer engineering and brief roles in engineering and finance, Dr. Gao earned his Ph.D. in cancer research, specializing in the application of artificial intelligence and big data technologies. He is a core member of the International Cancer Genome Consortium - Accelerated Research in Genomic Oncology (ICGC-ARGO) Colorectal Cancer (CRC) project. His research primarily focuses on creating AI-driven solutions for colorectal cancer diagnosis and prognosis. Dr. Gao also has a strong interest in translating these cutting-edge techniques to other medical disciplines, including diabetes, reproductive health, pediatrics, and dentistry.

Research Interests

  • Artificial Intelligence
  • Colorectal Cancer

Education

  • Joint PhD in Cancer Biology and Bioinformatics
    City University of Hong Kong & Cornell University
    2015 - 2018
  • Visiting Student in Computer Science and Electronic Engineering
    Kumamoto University
    2007 - 2008
  • BEng in Computer Science and Technology
    Shandong University
    2005 - 2009

Related Publications

† First or co-first author, * Corresponding or co-corresponding author, bold names are lab members

(2022). Journal Article Dissecting Cellular Heterogeneity Based on Network Denoising of scRNA-seq Using Local Scaling Self-Diffusion. Frontiers in Genetics.
(2021). Journal Article Identification of an autophagy-related gene signature for the prediction of prognosis in early-stage colorectal cancer. Frontiers in Genetics.
(2021). Journal Article Cancer-associated fibroblasts impact the clinical outcome and treatment response in colorectal cancer via immune system modulation: a comprehensive genome-wide analysis. Molecular Medicine.
(2021). Journal Article OCaMIR—a noninvasive, diagnostic signature for early-stage ovarian cancer: a multi-cohort retrospective and prospective study. Clinical Cancer Research.
(2021). Journal Article An interpretable computer-aided diagnosis method for periodontitis from panoramic radiographs. Frontiers in Physiology.
(2021). Journal Article Genome-Wide analysis reveals hypoxic microenvironment is associated with immunosuppression in poor survival of stage II/III colorectal cancer patients. Frontiers in Medicine.
(2021). Journal Article Predicting treatment response from longitudinal images using multi-task deep learning. Nature Communications.
(2021). Journal Article A novel cell-free DNA methylation-based model improves the early detection of colorectal cancer. Molecular Oncology.
(2021). Journal Article Identification of prognostic spatial organization features in colorectal cancer microenvironment using deep learning on histopathology images. Medicine in Omics.
(2021). Journal Article Protein-protein interaction analysis reveals a novel cancer stem cell related target TMEM17 in colorectal cancer. Cancer Cell International.
(2020). Book Chapter Genome-wide Discovery of MicroRNA Biomarkers for Cancer Precision Medicine. Detection Methods in Precision Medicine.
(2020). Journal Article Immune-related gene signature in predicting prognosis of early-stage colorectal cancer patients. European Journal of Surgical Oncology.
(2020). Journal Article Multiomics-based colorectal cancer molecular subtyping using local scaling network fusion. Journal of Computational Biology.
(2020). Journal Article Hippo-YAP signaling controls lineage differentiation of mouse embryonic stem cells through modulating the formation of super-enhancers. Nucleic Acids Research.
(2020). Journal Article Development and validation of an individualized gene expression-based signature to predict overall survival in metastatic colorectal cancer. Annals of Translational Medicine.
(2020). Journal Article Immune-related gene signature for predicting the prognosis of head and neck squamous cell carcinoma. Cancer Cell International.
(2019). Journal Article Multiomics-Based Colorectal Cancer Molecular Subtyping Using Local Scaling Network Fusion. Journal of Computational Biology.