Feng GAO

Feng GAO

Professor

Biography

Dr. Feng Gao is a Professor of Medical AI at the Sixth Affiliated Hospital of Sun Yat-sen University and the data analysis lead for the ICGC-ARGO Colorectal Cancer project. Leveraging his interdisciplinary expertise in computer science and oncology, Dr. Gao’s lab is dedicated to building the critical technical infrastructure for the “AI-Native Future Hospital.” By pioneering “AI Doctor 3.0” through multi-agent systems, multimodal foundation models, and intelligent surgical computing, his team is driving the paradigm shift from passive medical tools to autonomous, collaborative clinical intelligence. Using colorectal cancer as a flagship testing ground, Dr. Gao focuses on architecture-driven AI paradigms—rather than mere parameter scaling—to create full-stack, scalable solutions that fundamentally restructure healthcare supply and delivery.

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

(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). Conference Paper Cross-level contrastive learning and consistency constraint for semi-supervised medical image segmentation. IEEE International Symposium on Biomedical Imaging.
(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.
(2022). Journal Article Dissecting Cellular Heterogeneity Based on Network Denoising of scRNA-seq Using Local Scaling Self-Diffusion. Frontiers in Genetics.
(2022). Conference Paper Lesion-aware dynamic kernel for polyp segmentation. Lecture Notes in Computer Science.
(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.