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

(2025). Conference Paper Bridging Knowledge Discrepancy in Retinal Image Analysis through Federated Multi-Task Learning. MICCAI.
(2025). Conference Paper Accurate Boundary Alignment and Realism Enhancement for Colonoscopic Polyp Image-Mask Pair Generation. MICCAI.
(2025). Journal Article A plasma metabolite-based test to detect minimal residual disease in post-surgery patients with colorectal cancer. iScience.
(2025). Journal Article PCsRNAdb: a comprehensive resource of small noncoding RNAs across cancers. NAR.
(2025). Journal Article Immunological Microenvironment Differences Between Left and Right Colon Cancer: Dynamic Interactions of CASC15+KLK6+ Epithelial Subpopulation with T Cells and Mast Cells. IJS.
(2025). Journal Article CRCFound: A Colorectal Cancer CT Image Foundation Model Based on Self-Supervised Learning. Advanced Science.
(2025). Journal Article Personalized risk stratification in colorectal cancer via PIANOS system. Nature Communications.
(2025). Journal Article Poor-prognosis young-onset colorectal cancer is defined by the mesenchymal subtype and can be predicted by integrating molecular and histopathological characteristics. ESMO Gastrointest Oncol.
(2025). Journal Article Interpretable Multimodal Fusion Model for Bridged Histology and Genomics Survival Prediction in Pan-Cancer. Advanced Science.
(2025). Journal Article HADiff: hierarchy aggregated diffusion model for pathology image segmentation. TVC.
(2025). Journal Article Challenges in AI-driven Biomedical Multimodal Data Fusion and Analysis. Genomics Proteomics Bioinformatics.
(2025). Journal Article Liquid biopsy to identify Barrett's oesophagus, dysplasia and oesophageal adenocarcinoma: the EMERALD multicentre study. Gut.
(2025). Journal Article SegMamba-V2: Long-range Sequential Modeling Mamba For General 3D Medical Image Segmentation. TMI.
(2024). Journal Article Anatomic association between the gastrocolic trunk of Henle and right colic artery by high-quality CT venography. Scientific Reports.
(2024). Journal Article Integrated immune-related gene signature predicts clinical outcome for patients with Luminal B breast cancer. Gland Surgery.
(2024). Journal Article Single-cell encoded gene silencing for high-throughput combinatorial siRNA screening. Nature Communications.
(2024). Journal Article TMO-Net: an explainable pretrained multi-omics model for multi-task learning in oncology. Genome Biology.