Welcome to Smart Lab!

Smart Lab, led by Prof. Hao Chen, is committed to pushing the boundaries of trustworthy AI technologies for healthcare and science. Our research directions include large-scale models for healthcare, computer-assisted intervention, AI for science, and bioinformatics, etc. Our ultimate goal is to spearhead a transformative revolution in medical practices and scientific discoveries, paving the way for a brighter and healthier future.

Recent News

[Press Release] MOME Model: AI Empowers Breast Cancer Diagnosis | Dialogue between HKUST and Shenzhen People’s Hospital

Join the dialogue between HKUST Smart Lab and Shenzhen People's Hospital, where AI meets healthcare in breast cancer diagnosis to see how MOME model is revolutionizing MRI analysis.

Last updated on 2025/04/30

[Nature Communications] A Large Model for Non-invasive and Personalized Management of Breast Cancer from Multiparametric MRI

HKUST's Smart Lab, in collaboration with leading institutions, has developed a groundbreaking mpMRI-based model for personalized breast cancer management, now published in Nature Communications.

Last updated on 2025/04/21

[Nature Biomedical Engineering] Towards A Generalizable Pathology Foundation Model via Unified Knowledge Distillation

Nature Sub-Journal Breakthrough! HKUST Smart Lab Team Pioneers First Generalizable Pathology Foundation Model (GPFM), Solving the "Versatility" Challenge in AI Healthcare.

Last updated on 2025/04/16

[CVPR 2025] FOCUS: Knowledge-Enhanced Adaptive Visual Compression for Few-Shot Whole Slide Image Classification

HKUST Smart Lab presents FOCUS, a novel knowledge-enhanced adaptive visual compression framework for few-shot whole slide image classification, accepted at CVPR 2025!

Last updated on 2025/02/28

Generalizable Cervical Cancer Screening via Large-scale Pretraining and Test-Time Adaptation

See our latest work, a new paradigm for cervical cancer screening that leverages large-scale pretraining and test-time adaptation to achieve robust generalization across diverse clinical settings. Our Smart-CCS framework aims to overcome longstanding challenges in cytology-based cancer screening.

Last updated on 2025/02/17

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We want you!

We are always looking for self-motivated and determined talents. Open positions are available at our Recruitment page.


Last Update: Apr 30, 2025