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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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

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

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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