Welcome to our lab!

We are a group of scientists, clinicians, and engineers dedicating to apply advanced artificial intelligence technologies to cancer research.

Research Areas

Genomic Data

Our team is the core member of the ICGC-ARGO CRC project, the largest multi-omics data cohort of colorectal cancer in the world.

Medical Images

We work together with top scientists and leading companies to develop cutting-edge AI technologies for cancer diagnosis and prognosis.

Computational Pathology

We are developing state-of-the-art algorithms to bridge digital pathology, genomic information, and clinical phenotypes.

Projects

*
ICGC-ARGO CRC

A large-scale Clinical Genomic Study of Colorectal Cancer in China

DeepCC

A deep learning-based framework for cancer molecular subtype classification

Our Team

Visit this page for a full list of past and present members.

Principal Investigator

Avatar

Feng GAO

Associate Professor

Artificial Intelligence
Colorectal Cancer

Members

Avatar

De-Jun FAN

Endoscopist

Gastrointestinal Endoscopy
Artificial Intelligence

Avatar

Jie-Yu CHEN

Dentist

Deep Learning
Orthodontics

Avatar

Shu-Ting Yang

Physician

Artificial Intelligence
Endocrinology

Avatar

Du CAI

Postdoc

Artificial Intelligence
Colorectal Cancer

Avatar

Qi-Qi ZHU

Surgeon

Bioinformatics
Colorectal Cancer

Avatar

Hao-Ning QI

Postdoc

Colorectal Cancer
Artificial Intelligence

Avatar

Chu-Ling HU

Rsearch Student

Colorectal Cancer
Artificial Intelligence

Avatar

Feng ZHANG

Medical Student

Intestinal Microecology
Human Immunity

Avatar

Bao-Wen GAI

Research Student

Colorectal Cancer
Artificial Intelligence

Avatar

Min-Yi LV

Research Student

Colorectal Cancer
Biostatistics

Avatar

Xiao-Lin WU

Research Student

Bioinformatics
Artificial Intelligence

Avatar

Cheng-Hang LI

Research Assistant

Deep Learning
Feature Fusion

Avatar

Shi-Ang LI

Research Student

Breast Cancer
Artificial Intelligence

Avatar

Ke-Cheng WU

MPhil Student

Deep Learning
Medical Image Analysis

Avatar

Jin-Quan ZHANG

Medical Student

Colorectal Cancer
Artificial Intelligence

Avatar

Run-Xian WANG

Research Student

Colorectal Cancer
Artificial Intelligence

Avatar

Ming-Ru MAI

Research Student

Colorectal Cancer
Bioinformatics

Avatar

Ren-De HUANG

Research Student

Colorectal Cancer
Artificial Intelligence

Avatar

Yin-Meng ZHANG

Research Student

Colorectal Cancer
Artificial Intelligence

Avatar

Ting-Zhu LUO

Research Student

Colorectal Cancer
Bioinformatics Analysis

Recent Publications

Quickly discover relevant content by filtering publications.
Deciphering Tertiary Lymphoid Structure Heterogeneity Reveals Prognostic Signature and Therapeutic Potentials for Colorectal Cancer: A Multicenter Retrospective Cohort Study
Senescence-based colorectal cancer subtyping reveals distinct molecular characteristics and therapeutic strategies
Segmentation only uses sparse annotations: Unified weakly and semi-supervised learning in medical images
DeepCC: a novel deep learning-based framework for cancer molecular subtype classification
TMO-Net: an explainable pretrained multi-omics model for multi-task learning in oncology

Collaborators

Some of the institutes and companies we work with

Drawing
Stanford University
Drawing
Cornell University
Drawing
Sun Yat-sen University
Drawing
City University of Hong Kong
Drawing
King Abdullah University of Science and Technology
Drawing
BGI
Drawing
Tencent AI Lab
Drawing
The Institute of Cancer Research
Drawing
Yitu Technology
Drawing
SenseTime
Drawing
ByteDance
Drawing
Yiduyun

Contact

  • gaof57@mail.sysu.edu.cn
  • No.26, Road yuancun-er-heng, Tianhe, Guangzhou, China
  • The Sixth Affiliated Hospital of Sun Yat-sen University