News

Histopathology is a cornerstone of clinical diagnosis, especially in cancer care. However, conventional chemical staining is often time-consuming and labor-intensive and may consume precious tissue samples. A research team led by Prof. CHEN Hao from the School of Engineering at The Hong Kong University of Science and Technology (HKUST) has developed a novel generative AI (GenAI) framework that can produce high-fidelity virtually stained images even when training image pairs are imperfectly aligned, paving the way for faster and more tissue-saving histopathology workflows. The study titled “Generative AI for misalignment-resistant virtual staining to accelerate histopathology workflows” was recently published in the international journal Nature Communications. 阅读更多

A research team led by Prof. Xiaomeng LI has developed a pioneering artificial intelligence (AI) pathology analysis system that can accurately recognize multiple types of cancer using only a minimal number of samples—without requiring any additional training. This breakthrough significantly enhances the flexibility and efficiency of AI-assisted medical care, marking a major step forward toward the widespread adoption of intelligent pathology. 阅读更多

The Hong Kong University of Science and Technology (HKUST) today launched SmartPath, a comprehensive artificial intelligence (AI) system designed to transform the entire pathology workflow for cancer care. The system was developed by an HKUST research team led by Prof. CHEN Hao, Director of Collaboration Center for Medical and Engineering Innovation, and Assistant Professor of the Department of Computer Science and Engineering and Department of Chemical and Biological Engineering. SmartPath provides integrated support for clinical diagnosis, subtyping, biomarker quantification, treatment response assessment, and prognostic follow-up across a wide spectrum of cancers, aiming to accelerate turnaround times and enhance the personalization of treatment plans. 阅读更多

The Hong Kong University of Science and Technology (HKUST) has recently introduced SmartCare – an AI platform developed by HKUST researchers that redefines patient journeys from triage to treatment – in its on-campus clinic. This landmark deployment kicks off a six-month pilot study open to 15,000+ students, faculty, and staff. Developed by Prof. Hao CHEN from the Department of Computer Science and Engineering and Director of Smart Lab, SmartCare builds on HKUST’s invention, MedDr—one of the largest open-source generalist multimodal foundation models for medicine in the world. 阅读更多

HKUST and Union Hospital, Tongji Medical College, Huazhong University of Science and Technology (Wuhan Union Hospital) have jointly established the "Collaborative Center for Medical and Engineering Innovation" (the Center). Prof. Hao CHEN, Assistant Professor of Department of Computer Science and Engineering, Department of Chemical and Biological Engineering and Division of Life Science at HKUST, serves as one of the Center’s Co-Directors. 阅读更多

Prof. Xiaomeng LI, Assistant Professor of the Department of Electronic and Computer Engineering and Associate Director of Center for Medical Imaging & Analysis at HKUST, and her research team have developed a groundbreaking AI technology that reconstructs precise 3D bones and organs models from minimal X-ray images, slashing patients’ radiation exposure by up to 99% compared to CT scans. This innovation not only enhances patient safety but also reduces costs and wait times, with potential applications in surgical planning, real-time imaging, and personalized implants. HKUST team is collaborating with different industry partners to implement this technology in public hospitals. 阅读更多

Prof. Xiaojuan MA, Associate Professor of the Department of Computer Science and Engineering (CSE) at HKUST received the ACM CHI Conference on Human Factors in Computing Systems 2025 Best Paper Honorable Mention for three co-authored papers titled "Signaling Human Intentions to Service Robots: Understanding the Use of Social Cues during In-Person Conversations", "Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making", and "AI Afterlives' as Digital Legacy: Perceptions, Expectations, and Concerns". 阅读更多