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

(2024). Journal Article Structure Embedded Nucleus Classification for Histopathology Images. IEEE Transactions on Medical Imaging.
(2023). Journal Article Genome-wide study reveals novel roles for formin-2 in axon regeneration as a microtubule dynamics regulator and therapeutic target for nerve repair. Neuron.
(2023). Journal Article A Longitudinal MRI-Based Artificial Intelligence System to Predict Pathological Complete Response After Neoadjuvant Therapy in Rectal Cancer: A Multicenter Validation Study. Diseases of the Colon & Rectum.
(2023). Journal Article A prognostic model for ovarian neoplasms established by an integrated analysis of 1580 transcriptomic profiles. Scientific Reports.
(2023). Journal Article Deep learning-derived spatial organization features on histology images predicts prognosis in colorectal liver metastasis patients after hepatectomy. iScience.
(2023). Journal Article The landscape of objective response rate of anti-PD-1/L1 monotherapy across 31 types of cancer: a system review and novel biomarker investigating. Cancer Immunology, Immunotherapy.
(2023). Journal Article MiR-423-5p is a novel endogenous control for the quantification of circulating miRNAs in human esophageal squamous cell carcinoma. Heliyon.
(2023). Journal Article Medical knowledge-assisted machine learning technologies in individualized medicine. Frontiers in Molecular Biosciences.
(2022). Journal Article Segmentation only uses sparse annotations: Unified weakly and semi-supervised learning in medical images. Medical Image Analysis.
(2022). Journal Article The growth pattern of liver metastases on MRI predicts early recurrence in patients with colorectal cancer: a multicenter study. European Radiology.
(2022). Journal Article A microRNA-based liquid biopsy signature for the early detection of esophageal squamous cell carcinoma: a retrospective, prospective and multicenter study. Molecular Cancer.
(2022). Journal Article Single-cell RNA-seq recognized the initiator of epithelial ovarian cancer recurrence. Oncogene.