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

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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

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Feng GAO

Associate Professor

Artificial Intelligence
Colorectal Cancer

Members

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De-Jun FAN

Endoscopist

Gastrointestinal Endoscopy
Artificial Intelligence

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Jie-Yu CHEN

Dentist

Deep Learning
Orthodontics

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Shu-Ting Yang

Physician

Artificial Intelligence
Endocrinology

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Du CAI

Postdoc

Artificial Intelligence
Colorectal Cancer

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Qi-Qi ZHU

Surgeon

Bioinformatics
Colorectal Cancer

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Hao-Ning QI

Postdoc

Colorectal Cancer
Artificial Intelligence

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Chu-Ling HU

Rsearch Student

Colorectal Cancer
Artificial Intelligence

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Feng ZHANG

Medical Student

Intestinal Microecology
Human Immunity

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Bao-Wen GAI

Research Student

Colorectal Cancer
Artificial Intelligence

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Min-Yi LV

Research Student

Colorectal Cancer
Biostatistics

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Xiao-Lin WU

Research Student

Bioinformatics
Artificial Intelligence

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Cheng-Hang LI

Research Assistant

Deep Learning
Feature Fusion

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Shi-Ang LI

Research Student

Breast Cancer
Artificial Intelligence

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Ke-Cheng WU

MPhil Student

Deep Learning
Medical Image Analysis

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Jin-Quan ZHANG

Medical Student

Colorectal Cancer
Artificial Intelligence

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Run-Xian WANG

Research Student

Colorectal Cancer
Artificial Intelligence

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Ming-Ru MAI

Research Student

Colorectal Cancer
Bioinformatics

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Ren-De HUANG

Research Student

Colorectal Cancer
Artificial Intelligence

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Yin-Meng ZHANG

Research Student

Colorectal Cancer
Artificial Intelligence

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Ting-Zhu LUO

Research Student

Colorectal Cancer
Bioinformatics Analysis

Recent Publications

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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

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