Clinical Agents
Cognition.Multi-agent orchestration turns evidence into transparent MDT-level decisions.
FengGao Lab · Medical AI · AI-Native Research
AI Doctor 3.0
One integrated architecture for
Cognition · Perception · Action · IntuitionBuilt through auditable agents, purposeful harnesses, and controlled evolution.
FengGao Lab at SYSU
Medical AI grounded in real clinical care
Based at the Sixth Affiliated Hospital of Sun Yat-sen University, we connect clinical expertise with computational research to build explainable, multimodal, and workflow-aware AI. Colorectal cancer is our flagship setting for studying the full path from disease mechanisms to patient care.
Research Areas
Four tightly coupled engines powering one AI doctor system.
Foundation Perception
Perception.Self-supervised multimodal fusion unifies pathology, imaging, and genomics.
Surgical Intelligence
Action.From AR navigation to embodied assistance, we turn perception into intervention.
Mechanism Engine
Intuition.Explainable omics modeling reveals the biological why behind disease.
OPL Gateway Telemetry
Updated 2026-08-12
Shared model access for literature research, code, data analysis, scientific writing, and agent workflows.
Explore our AI systemsRequests
4,786,279
Tokens
640.03B
Cost
$576.25K
FengGao Lab · Sun Yat-sen University
Team
Clinicians, computational researchers, and trainees working across cancer biology, medical imaging, and AI-native healthcare.
- 31
- active members
Principal Investigator1
Senior Faculty3
Clinical Staff4
Research Staff7
Rongjian ZHAN
Postdoc
Obstructive Sleep Apnea-Hypopnea SyndromeChronic RhinosinusitisAllergic Rhinitis
Current Students16
Publications
Recent work from the lab and our collaborators.
INTELCAPE: A Deep Learning-Powered System for Automated, High-Accuracy Crohn's Disease Diagnosis via Capsule Endoscopy
Multi-omics driven immune classification of colorectal cancer: Implications for immunotherapy efficacy prediction and enhancement with WNT signaling inhibition
PCsRNAdb: a comprehensive resource of small noncoding RNAs across cancers
CRCFound: A Colorectal Cancer CT Image Foundation Model Based on Self-Supervised Learning
SegMamba-V2: Long-range Sequential Modeling Mamba For General 3D Medical Image Segmentation
News
Research advances, AI infrastructure, and life in the lab.
One Person Lab App Windows Preview is now available
Update, August 2026: The RC milestone described below has since graduated into the unified Stable release. The old RC Release has been retired; download the current Windows x64 installer from the latest One Person Lab App release…
Read updateCGH: INTELCAPE for automated, high-accuracy Crohn's disease diagnosis via capsule endoscopy
Cancer Letters: Multi-omics immune classification reveals immunotherapy opportunities in colorectal cancer
Lab Update: We have moved to Guangzhou International Bio Island
OPL Gateway has delivered 500B+ tokens for the lab
Contact
For collaborations, student inquiries, and lab visits.