Building the AI-Native Future Hospital
Reconstructing Healthcare with AI-Native Technologies.
We bridge Micro-scale (Omics), Meso-scale (Imaging), and Macro-scale (Clinical) data to transform medical services into intelligent, precision-driven care.

Research Areas

Omics AI & Mechanisms

Explainability First. We design modular networks (e.g., TMO-Net) that map predictions directly to gene pathways, decoding the “Black Box” for trusted mechanism discovery.

Multimodal Foundation Models

All-in-One Perception. Leveraging Self-Supervised Learning to unify genomic, pathological, and radiological data (CRCFound), overcoming annotation bottlenecks.

Surgery & Embodied AI

Perception to Action. Advancing from AR navigation to robot cognitive control, empowering surgeons with “transparent vision” and autonomous assistance.

Clinical Reasoning & Agents

Infinite Context. We decouple reasoning from knowledge, using Agents to orchestrate guidelines and evidence for transparent, traceable clinical decisions.

Team

Principal Investigator

Feng GAO

Feng GAO

Professor

My research leverages AI and big data to improve diagnostics, prognostics, and ultimately, outcomes in cancer and other biomedical fields.

Artificial Intelligence Colorectal Cancer

Senior Faculty

Xiao-Tong Luo

Xiao-Tong Luo

Associate Professor

My research integrates bioinformatics, algorithm development, and data analytics to advance early cancer diagnosis, prognostic stratification, and immunotherapy.

Bioinformatics Artificial Intelligence
De-Jun FAN

De-Jun FAN

Associate Professor

My research explores the intersection of gastrointestinal endoscopy (GIE) and artificial intelligence (AI), along with the biological mechanisms of colorectal cancer development.

Gastrointestinal Endoscopy Artificial Intelligence

Researchers

Jie-Yu CHEN

Jie-Yu CHEN

Dentist

I am a dentist interested in orthodontics and AI-assisted imaging analysis.

Deep Learning Orthodontics
Shu-Ting YANG

Shu-Ting YANG

Physician

An endocrinologist passionate about artificial intelligence and diabetes, focusing on applying machine learning and bioinformatics to diabetes heterogeneity research.

Artificial Intelligence Endocrinology
Du CAI

Du CAI

Postdoc

I focus on leveraging explainable AI and large foundation models to advance medical imaging and digital pathology in colorectal cancer research.

Artificial Intelligence Colorectal Cancer
Hao-Ning QI

Hao-Ning QI

Postdoc

I am a postdoctoral researcher working on AI for colorectal cancer with a focus on clinically actionable models.

Colorectal Cancer Artificial Intelligence
Qi-Qi ZHU

Qi-Qi ZHU

Surgeon

I am a surgeon focusing on colorectal cancer and translational bioinformatics in clinical practice.

Bioinformatics Colorectal Cancer
Chu-Ling HU

Chu-Ling HU

PhD Student

I am a PhD student focusing on AI-driven colorectal cancer research and clinically useful model development.

Colorectal Cancer Artificial Intelligence
Feng ZHANG

Feng ZHANG

PhD Student

I am a PhD student studying intestinal microecology and host immunity in translational biomedical research.

Intestinal Microecology Human Immunity
Bao-Wen GAI

Bao-Wen GAI

PhD Student

I am a PhD student working on AI methods for colorectal cancer diagnosis and prognosis.

Colorectal Cancer Artificial Intelligence
Min-Yi LV

Min-Yi LV

PhD Student

I am a PhD student focusing on colorectal cancer research, biostatistics, and evidence-driven clinical modeling.

Colorectal Cancer Biostatistics
Yin-Meng ZHANG

Yin-Meng ZHANG

PhD Student

I am a PhD student working on AI methods for colorectal cancer research and translational clinical applications.

Colorectal Cancer Artificial Intelligence
Chong-Xiang GAO

Chong-Xiang GAO

PhD Student

I am a PhD student studying AI applications in urology, with interests in clinically oriented translational research.

Urology Artificial Intelligence
Ke-Cheng WU

Ke-Cheng WU

PhD Student

I am a PhD student working on deep learning and medical image analysis for intelligent surgical applications.

Deep Learning Medical Image Analysis
Run-Xian WANG

Run-Xian WANG

PhD Student

I am a PhD student focusing on AI-based colorectal cancer research and predictive clinical modeling.

Colorectal Cancer Artificial Intelligence
Cheng-Hang LI

Cheng-Hang LI

Research Assistant

I am a research assistant focusing on deep learning, multimodal feature fusion, and medical AI system development.

Deep Learning Feature Fusion
Jia-Xin LEI

Jia-Xin LEI

Research Assitant

I am a research assistant interested in deep learning and medical image analysis for clinical applications.

Deep Learning
Ming-Ru MAI

Ming-Ru MAI

Research Student

I am a research student interested in colorectal cancer and bioinformatics, with a focus on data-driven biomedical analysis.

Colorectal Cancer Bioinformatics
Ren-De HUANG

Ren-De HUANG

Research Student

I am a research student working on AI methods for colorectal cancer analysis and clinical decision support.

Colorectal Cancer Artificial Intelligence
Yi-Yi ZUO

Yi-Yi ZUO

Research Student

I am a research student interested in non-coding RNA and bioinformatics for cancer-related studies.

Non-coding RNA Bioinformatics
Shu-Xin ZHENG

Shu-Xin ZHENG

Research Student

My research focuses on neoantigen discovery, tumor bioinformatics, and the development of bioinformatics databases.

Bioinformatics Neoantigen
Shun-Hui DENG

Shun-Hui DENG

Research Student

My research focuses on neoantigen discovery, tumor bioinformatics, and the development of bioinformatics databases.

Bioinformatics Neoantigen
View Full Team
Publications

† First or co-first author, * Corresponding or co-corresponding author, bold names are lab members

Ren-De HUANG†, Jiang Li†, Qi Cao†, Lixia Wang†, Zhixiong Shao, Haochun Yang, Xinlei Zhang, Chuanlai Yang, Xiangya Kong, Qiuyue Gu, Jianmin Wu, Tsan- Yu Chiu, Penghu Lian*, Kui Wu*, Feng GAO*, Zhongxu Zhu* (2025). Journal Article PCsRNAdb: a comprehensive resource of small noncoding RNAs across cancers. NAR.
DOI Code Project
Jing Yang†, Du CAI†, Junwei Liu†, Zhenfeng Zhuang†, Yibin Zhao, Feng-Ao Wang, Cheng-Hang LI, Chu-Ling HU, Bao-Wen GAI, Yiping Chen, Yixue Li, Liansheng Wang*, Feng GAO*, Xiaojian Wu* (2025). Journal Article CRCFound: A Colorectal Cancer CT Image Foundation Model Based on Self-Supervised Learning. Advanced Science.
DOI
Du CAI†, Hao-Ning QI†, Qiuxia Yang†, Huayu Li†, Cheng-Hang LI, Chu-Ling HU, Bao-Wen GAI, Xu Zhang, Yize Mao*, Feng GAO*, Xiaojian Wu* (2025). Journal Article Personalized risk stratification in colorectal cancer via PIANOS system. Nature Communications.
DOI
Feng GAO†, Junxiang Ding†, Bao-Wen GAI†, Du CAI†, Chu-Ling HU, Feng-Ao Wang, Ruikun He, Junwei Liu*, Yixue Li*, Xiao-Jian Wu* (2025). Journal Article Interpretable Multimodal Fusion Model for Bridged Histology and Genomics Survival Prediction in Pan-Cancer. Advanced Science.
DOI
Junwei Liu†, Xiaoping Cen†, Chenxin Yi, Feng-Ao Wang, Junxiang Ding, Jinyu Cheng, Qinhua Wu, Bao-Wen GAI, Yiwen Zhou, Ruikun He, Feng GAO*, Yixue Li* (2025). Journal Article Challenges in AI-driven Biomedical Multimodal Data Fusion and Analysis. Genomics Proteomics Bioinformatics.
PMID DOI
All Publications
News

Teacher's Day

Feng, happy Teacher’s Day.

Graduation & New members

Congratulating chuling for his graduation. And he is continuing studying with us during his PhD.
Welcome to Dongwei, Shiqi and Jiaxin joining us as postgraduates.
Welcome to Baowen studying with us during his undergraduate.

Graduation

Congratulating Qiqi for her PhD graduation.

Contact

Visit Our Lab

The Sixth Affiliated Hospital of Sun Yat-sen University

No.26, Road yuancun-er-heng, Tianhe

Guangzhou, Guangdong 510006

China

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Connect

gaof57@mail.sysu.edu.cn