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.
All-in-One Perception. Leveraging Self-Supervised Learning to unify genomic, pathological, and radiological data (CRCFound), overcoming annotation bottlenecks.
Perception to Action. Advancing from AR navigation to robot cognitive control, empowering surgeons with “transparent vision” and autonomous assistance.
Infinite Context. We decouple reasoning from knowledge, using Agents to orchestrate guidelines and evidence for transparent, traceable clinical decisions.
Professor
My research leverages AI and big data to improve diagnostics, prognostics, and ultimately, outcomes in cancer and other biomedical fields.
Associate Professor
My research integrates bioinformatics, algorithm development, and data analytics to advance early cancer diagnosis, prognostic stratification, and immunotherapy.
Associate Professor
My research explores the intersection of gastrointestinal endoscopy (GIE) and artificial intelligence (AI), along with the biological mechanisms of colorectal cancer development.
Associate Professor
I have been engaged in the subspecialties of gastrointestinal pathology and breast pathology for more than ten years and am also a senior member of the MDT team.
Dentist
I am a dentist interested in orthodontics and AI-assisted imaging analysis.
Physician
An endocrinologist passionate about artificial intelligence and diabetes, focusing on applying machine learning and bioinformatics to diabetes heterogeneity research.
Surgeon
I am a surgeon focusing on colorectal cancer and translational bioinformatics in clinical practice.
Physician
I am a PhD student studying intestinal microecology and host immunity in translational biomedical research.
Postdoc
I focus on leveraging explainable AI and large foundation models to advance medical imaging and digital pathology in colorectal cancer research.
Postdoc
I am a postdoctoral researcher working on AI for colorectal cancer with a focus on clinically actionable models.
Postdoc
My research involves the analysis of brain structure and functional imaging in pituitary adenomas, as well as emotion and cognition.
Research Assitant
I am a research assistant interested in deep learning and medical image analysis for clinical applications.
Research Assistant
I am a research assistant focusing on deep learning, multimodal feature fusion, and medical AI system development.
PhD Student
I am a PhD student focusing on colorectal cancer research, biostatistics, and evidence-driven clinical modeling.
PhD Student
I am a PhD student focusing on AI-driven colorectal cancer research and clinically useful model development.
PhD Student
I am a PhD student working on AI methods for colorectal cancer diagnosis and prognosis.
PhD Student
I am a PhD student working on deep learning and medical image analysis for intelligent surgical applications.
PhD Student
I am a PhD student working on AI methods for colorectal cancer research and translational clinical applications.
PhD Student
I am a PhD student studying AI applications in urology, with interests in clinically oriented translational research.
PhD Student
My research leverages AI and big data to improve diagnostics, prognostics, and ultimately, outcomes in colorectal cancer.
Research Student
I am a research student working on AI methods for colorectal cancer analysis and clinical decision support.
Research Student
I focus on bioinformatics and non-coding RNA research, particularly in calcific aortic valve disease and translational medicine.
Research Student
My research focuses on neoantigen discovery, tumor bioinformatics, and the development of bioinformatics databases.
Research Student
My research focuses on neoantigen discovery, tumor bioinformatics, and the development of bioinformatics databases.
Research Student
I work at the intersection of AI and genodermatoses, focusing on multimodal large language models for skin cancer screening and diagnosis in rare inherited skin diseases.
Research Student
Wen DONG is a master's student in Dermatology. She is pursuing her degree at the Sixth Affiliated Hospital of Sun Yat-sen University. She is now interested in studying genetic skin diseases.
† First or co-first author, * Corresponding or co-corresponding author, bold names are lab members
Our team introduced CRCFound in Advanced Science, a self-supervised colorectal cancer CT foundation model pretrained on large-scale unlabeled 3D CT data. CRCFound was …
Our team published PIANOS in Nature Communications to address a long-standing challenge in colorectal cancer prognosis: model instability across platforms and cohorts. PIANOS is a …
The Sixth Affiliated Hospital of Sun Yat-sen University
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China