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

(2018). Journal Article Retinoic acid and 6-formylindolo(3,2-b)carbazole (FICZ) combination therapy reveals putative targets for enhancing response in non-APL AML. Leukemia and Lymphoma.
(2018). Journal Article High-throughput three-dimensional chemotactic assays reveal steepness-dependent complexity in neuronal sensation to molecular gradients. Nature Communications.
(2018). Journal Article Genome-wide discovery and identification of a novel miRNA signature for recurrence prediction in stage II and III colorectal cancer. Clinical Cancer Research.
(2018). Conference Paper A Novel Non-Invasive Circulating Mirna Signature for Detection of Esophageal Adenocarcinoma. Gastroenterology.
(2018). Conference Paper Dysregulation of m6A RNA methylation regulators in colorectal cancer: Clinical implication as prognostic biomarkers and potential therapeutic targets. Cancer Research.
(2018). Journal Article A microRNA signature associated with metastasis of T1 colorectal cancers to lymph nodes. Gastroenterology.
(2018). Journal Article Potential for subsets of wt-NPM1 primary AML blasts to respond to retinoic acid treatment. Oncotarget.
(2017). Conference Paper HTSanalyzeR2: An Ultra-Fast R/Bioconductor Package for High-Throughput Screens with Interactive Report. Intelligent Systems for Molecular Biology.
(2017). Conference Paper Poor-prognosis nasopharyngeal carcinoma as defined by a molecularly distinct subgroup and prediction by a miRNA expression signature. Journal of Clinical Oncology.
(2017). Conference Paper Identification, Development and Validation of a Circulating Mirna-Based Diagnostic Signature for Early Detection of Gastric Cancer. Gastroenterology.
(2017). Conference Paper Genome-wide discovery and identification of a novel microrna signature for recurrence prediction in colorectal cancer. Cancer Research.
(2017). Conference Paper Genome-Wide Analysis Revealed a Robust Gene Expression Signature to Identify Lymph Node Metastasis in Submucosal Colorectal Cancer. Gastroenterology.
(2017). Conference Paper A Novel Mirna-Based, Non-Invasive, Diagnostic Panel for Detection of Esophageal Squamous Cell Carcinoma. Gastroenterology.
(2017). Conference Paper A Novel Mirna Signature for the Detection of Lymph Node Metastasis in Submucosal Colorectal Cancer Patients. Gastroenterology.
(2017). Book Chapter Biomarkers for Precision Medicine. Clinical Chemistry and Laboratory Medicine (CCLM).