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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Min-Er ZHONG

Postdoc

Deep Learning
Colorectal Cancer

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Xin DUAN

Postdoc

Medical Images
Artificial Intelligence

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De-Jun FAN

Medical Student

Gastrointestinal Endoscopy
Artificial Intelligence

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Du CAI

Research Student

Artificial Intelligence
Colorectal Cancer

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Jie-Yu CHEN

Research Student

Deep Learning
Orthodontics

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Qi-Qi ZHU

Surgeon

Bioinformatics
Colorectal Cancer

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Dilnur Hilimjan

Research Asistant

Biology
Study on Plant Stress Resistance

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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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Hao-Ning QI

Medical Student

Colorectal Cancer
Artificial Intelligence

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Cheng-Hang LI

Research Student

Deep Learning
Feature Fusion

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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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Xun WANG

Research Student

Deep Learning
Big Data

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Si-Ming CHEN

Research Assistant

Bioinformatics
Artificial Intelligence

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Dong-Wei XU

Research Student

Deep Learning

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Shi-Qi CHEN

Research Student

Deep Learning

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Jia-Xin LEI

Research Student

Deep Learning

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Jinquan ZHANG

Medical Student

Colorectal Cancer
Artificial Intelligence

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Shi-Yu FAN

Research Student

Public Health
Artificial Intelligence

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Qing YUAN

Research Student

Public Health
Artificial Intelligence

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Run-Xian WANG

Research Student

Colorectal Cancer
Artificial Intelligence

Recent Publications

Quickly discover relevant content by filtering publications.
DeepCC: a novel deep learning-based framework for cancer molecular subtype classification
Segmentation Only Uses Sparse Annotations: Unified Weakly and Semi-Supervised Learning in Medical Images
Predicting treatment response from longitudinal images using multi-task deep learning
Gene Expression Signature in Surgical Tissues and Endoscopic Biopsies Identifies High-Risk T1 Colorectal Cancers
Long-Read RNA Sequencing Identifies Alternative Splice Variants in Hepatocellular Carcinoma and Tumor-Specific Isoforms

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