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

(2026). Journal Article Lactylation of SLC26A3 in the acidic tumor microenvironment promotes malignant progression of colorectal carcinoma. Cell Death & Disease.
(2025). Journal Article Decoding Senescence-Driven Heterogeneity in Early-Onset Colorectal Cancer for Prognostic and Therapeutic Stratification. Cancer Science.
(2025). Journal Article Predominant mutated non-canonical tumor-specific antigens identified by proteogenomics demonstrate immunogenicity and tumor suppression in CRC. Cell Genomics.
(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.