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 2026-09-04
Shared model access for literature research, code, data analysis, scientific writing, and agent workflows.
Explore our AI systemsRequests
6,169,523
Tokens
789.72B
Cost
$713.00K
Daily token usage
Last 30 days
- 2026-08-06: 6.19B daily tokens (estimated)
- 2026-08-07: 6.19B daily tokens
- 2026-08-08: 4.42B daily tokens
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- 2026-08-12: 8.39B daily tokens
- 2026-08-13: 8.35B daily tokens
- 2026-08-14: 7.51B daily tokens
- 2026-08-15: 8.66B daily tokens
- 2026-08-16: 6.28B daily tokens
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- 2026-08-18: 9.61B daily tokens
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- 2026-08-20: 6.57B daily tokens
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- 2026-08-25: 8.16B daily tokens
- 2026-08-26: 6.93B daily tokens
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- 2026-08-30: 4.86B daily tokens
- 2026-08-31: 3.67B daily tokens
- 2026-09-01: 5.51B daily tokens
- 2026-09-02: 7.93B daily tokens
- 2026-09-03: 3.68B daily tokens
- 2026-09-04: 4.50B daily tokens
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 Staff8
Rong-jian ZHAN
Postdoc
Obstructive Sleep Apnea-Hypopnea SyndromeChronic RhinosinusitisAllergic Rhinitis
Current Students15
Publications
Recent work from the lab and our collaborators.
Integrated CT Foundation Model and Radiomic Features Define Clinically and Biologically Distinct Colorectal Cancer Subtypes
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
News
Research advances, AI infrastructure, and life in the lab.
Research: CT foundation model and radiomics reveal distinct colorectal cancer subtypes
Our team published a new study in Research that integrates CT foundation model features with radiomic features to characterize clinically and biologically distinct colorectal cancer subtypes. The work extends imaging based colore…
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
One Person Lab App Windows Preview is now available
Contact
For collaborations, student inquiries, and lab visits.