Feng GAO

Professor

Sun Yat-sen University

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

Du CAI^†, Hao-Ning QI, Wei Wang, Min-Er ZHONG, De-Jun FAN, Cheng-Hang LI, Xiaojian Wu, Feng GAO^* (0001). PIANOS: A platform independent and normalization free single-sample classifier for colorectal cancer.

Yingxin Tan^†, Yuming Rong, Zhaoliang Yu, Feng GAO, Yufeng Chen, Xutao Lin, Yifeng Zou, Xi Chen^* (0001). Pathway analysis of hypoxia-related factors in early colorectal cancer patients with poor prognosis..

Wentai Hou^†, Yan He, Bingjian Yao, Lequan Yu, Rongshan Yu, Feng GAO, Liansheng Wang^* (0001). Multi-scope Analysis Driven Hierarchical Graph Transformer for Whole Slide Image Based Cancer Survival Prediction.

Xuanhui Liu^†, Yani Zhang, Xiurui Zhu, Sheeno P. Thyparambil, Wei-Li Liao, Xiao-Bin Zheng, Jin You, Ashiq Masood, Zhen Li, Gabriel Yang, Xiaoming Yao, Shiying Hao, Robert Heaton, James Schilling, Karl G. Sylvester, Jiayu Liao, Feng GAO, Ping Lan, Xuefeng Ling, Xiaojian Wu^* (0001). Multi-omics longitudinal analyses in stages I to III CRC patients: Surveillance liquid biopsy test to predict early recurrence and enable risk-stratified postoperative CRC management..

Ruifei Zhang^†, Peiwen Lai, Xiang Wan, De-Jun FAN, Feng GAO, Xiao-Jian Wu, Guanbin Li^* (0001). Lesion-aware dynamic kernel for polyp segmentation.

Xin DUAN^†, Du CAI, Yufeng Chen, Qi-Qi ZHU, Ze-Ping HUANG, Cheng-Hang LI, Xiaojian Wu, Feng GAO^* (0001). Integrating diffusion components of multi-omics datasets with application to cancer molecular subtyping.

Xiaying Kuang^†, Du CAI, Ying Lin, Feng GAO^* (0001). Integrated immune-related gene signature to predict clinical outcome for patients with luminal B breast cancer..

Weiqiang You^†, Du CAI, Min-Yi LV, Peishan Hu, Feng GAO, Xiaojian Wu^* (0001). Immunological profiling of human colorectal cancer defines four distinct molecular subtypes.

Jia Ke^†, Xuanhui Liu, Xiaofeng Jiang, Yufeng Chen, Zerong Cai, Ping Lan, Xiaojian Wu, Feng GAO^* (0001). Immune-related gene signature in predicting prognosis of early-stage colorectal cancer patients.

Qi-Qi ZHU^†, Du CAI, Wei Wang, Min-Er ZHONG, De-Jun FAN, Xuanhui Liu, Cheng-Hang LI, Ze-Ping HUANG, Min-Yi LV, Chu-Ling HU, Xin DUAN, Xiaojian Wu, Feng GAO^* (0001). Identifying an immune-related gene-pair for prognosis prediction of metastatic colorectal cancer..

Daisuke Izumi^†, Shusuke Toden, Feng GAO, Jacob Turner, Mitsuro Kanda, Takatsugu Ishimoto, Yasuhiro Kodera, Xin Wang, Hideo Baba, Ajay Goel^* (0001). Identification, Development and Validation of a Circulating Mirna-Based Diagnostic Signature for Early Detection of Gastric Cancer.

Daisuke Izumi^†, Feng GAO, Yuetong Chen, Takatsugu Ishimoto, Kei Horino, Shu Shimada, Yasuhiro Kodera, Hideo Baba, Jinfei Chen, Xin Wang, Ajay Goel^* (0001). Identification, development and validation of a circulating miRNA-based diagnostic signature for early detection of gastric cancer.

D. Cai^†, Y. Che, Z. Yu, C. Li, X. Duan, J. Ke, X. Wu, Feng GAO^* (0001). Identification of a stemness-related gene signature for predicting prognosis of patients with adjuvant chemotherapy in colorectal cancer.

Feng GAO^†, Xiupei Mei, Lina Zhu, Yuchen Zhang, Wei Wang, Xin Wang^* (0001). HTSanalyzeR2: An Ultra-Fast R/Bioconductor Package for High-Throughput Screens with Interactive Report.

Raju Kandimalla^†, Feng GAO, Naoki Takahashi, Yasuhide Yamada, Takatoshi Matsuyama, Toshiyaki Ishikawa, Xin Wang, Ajay Goel^* (0001). Genome-wide discovery and identification of a novel microrna signature for recurrence prediction in colorectal cancer.

Raju Kandimalla^†, Tsuyoshi Ozawa, Feng GAO, Keisuke Hata, Hiroaki Nozawa, Hiroshi Nagata, Daisuke Izumi, Hideo Baba, James W. Fleshman, Xin Wang, Toshiaki Watanabe, Ajay Goel^* (0001). Genome-Wide Analysis Revealed a Robust Gene Expression Signature to Identify Lymph Node Metastasis in Submucosal Colorectal Cancer.

Yu-Feng Chen^†, Xiaojian Wu, Feng GAO^* (0001). Genome-wide analysis indicating cancer associated fibroblast (CAF) impacts on colorectal cancer (CRC) prognosis via immunosuppression..

Feng GAO^†, William C. Cho^†, Xin Gao, Wei Wang^* (0001). Editorial: Medical knowledge-assisted machine learning technologies in individualized medicine.

Nan Zhang^†^*, Wei Wang, Xin Gao, Feng GAO (0001). Editorial: Clinical risk assessment and intervention of gastrointestinal tumors driven by big-data.

Raju Kandimalla^†, Feng GAO, Chun Ruan, Michael Hsieh, Xin Wang, Ajay Goel^* (0001). Dysregulation of m6A RNA methylation regulators in colorectal cancer: Clinical implication as prognostic biomarkers and potential therapeutic targets.