理大研究及創新事務處 PolyU Research and Innovation Office - RIO

理大應用數學系助理教授張仕俊教授，榮獲國際基礎科學大會（ICBS）頒發的2026年「前沿科學獎」，表彰其傑出研究具前瞻性與深遠影響力。

張教授憑藉其發表於《SIAM Journal on Mathematical Analysis》的突破性論文 “Deep network approximation for smooth functions”，在數學（數值分析）領域獲此殊榮。

他的研究致力於推進深度神經網絡的理論研究與實際應用。他的研究著重於神經網絡如何有效逼近複雜函數，旨在降低逼近誤差、泛化誤差及優化誤差，從而加強理論模型與實際應用之間的銜接。

Prof. Zhang Shijun, Assistant Professor of the Department of Applied Mathematics at PolyU, has been honoured with the prestigious 2026 Frontiers of Science Award presented by the International Congress of Basic Science (ICBS) in recognition of his outstanding research, which demonstrates profound impact and forward-looking vision.

Prof. Zhang was recognised in the mathematics (numerical analysis) category for his paper, "Deep network approximation for smooth functions," published in the SIAM Journal on Mathematical Analysis.

His research focuses on advancing the theoretical foundations and practical capabilities of deep neural networks. His work examines how neural networks approximate complex functions, aiming to minimise critical approximation, generalisation, and optimisation errors, thereby bridging the gap between theory and application.

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重慶大學附屬仁濟醫院代表團到訪理大 共探生物焊接手術機器人醫工融合新機遇🏥

由重慶大學附屬仁濟醫院（重慶市第五人民醫院）泌尿生殖醫學中心主任孫中義主任率領代表團，於8月17日到訪理大，聚焦生物焊接手術系統前沿技術，展開深入交流，共同探討醫工融合及產學研協同創新機遇。

交流會上，雙方分別陳述團隊成員與研究概況。雙方就生物焊接核心技術的轉化與應用展開深入討論。理大代表介紹了在智能機器人、人工智能及醫工跨學科的科研優勢與最新發展；仁濟醫院代表則分享了醫院簡介及生物焊接技術的研發成果。🤖

代表團隨後參觀了理大人工智能機器人實驗室，實地了解理大在人工智能及機器人的研究積累與人才培養，並探討前沿科研成果於醫療領域的應用潛力。

展望未來，理大將與重慶大學附屬仁濟醫院保持緊密聯繫，充分發揮醫學、精密機械、人工智能等跨學科優勢，持續推動生物焊接手術機器人的研發協作與成果轉化，共創醫療科技新未來。

𝐂𝐡𝐨𝐧𝐠𝐪𝐢𝐧𝐠 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐑𝐞𝐧𝐣𝐢 𝐇𝐨𝐬𝐩𝐢𝐭𝐚𝐥 𝐝𝐞𝐥𝐞𝐠𝐚𝐭𝐢𝐨𝐧 𝐯𝐢𝐬𝐢𝐭𝐞𝐝 𝐏𝐨𝐥𝐲𝐔 𝐭𝐨 𝐞𝐱𝐩𝐥𝐨𝐫𝐞 𝐜𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧 𝐨𝐧 𝐛𝐢𝐨-𝐰𝐞𝐥𝐝𝐢𝐧𝐠 𝐬𝐮𝐫𝐠𝐢𝐜𝐚𝐥 𝐫𝐨𝐛𝐨𝐭𝐬🏥

A delegation led by 𝐃𝐫 𝐒𝐮𝐧 𝐙𝐡𝐨𝐧𝐠𝐲𝐢, 𝐃𝐢𝐫𝐞𝐜𝐭𝐨𝐫 𝐨𝐟 𝐭𝐡𝐞 𝐔𝐫𝐨𝐠𝐞𝐧𝐢𝐭𝐚𝐥 𝐌𝐞𝐝𝐢𝐜𝐚𝐥 𝐂𝐞𝐧𝐭𝐞𝐫 𝐚𝐭 𝐂𝐡𝐨𝐧𝐠𝐪𝐢𝐧𝐠 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐑𝐞𝐧𝐣𝐢 𝐇𝐨𝐬𝐩𝐢𝐭𝐚𝐥 (𝐓𝐡𝐞 𝐅𝐢𝐟𝐭𝐡 𝐏𝐞𝐨𝐩𝐥𝐞𝐬 𝐇𝐨𝐬𝐩𝐢𝐭𝐚𝐥 𝐨𝐟 𝐂𝐡𝐨𝐧𝐠𝐐𝐢𝐧𝐠), visited PolyU on 17 August for in-depth exchanges on cutting-edge bio-welding surgical systems and robotics technology. The visit explored new opportunities for medical-engineering integration and industry-academia-research collaboration.

During the exchange meeting, both parties introduced their team members and latest developments. Participants engaged in fruitful discussions on the translation and future development of core bio-welding technologies. PolyU representatives presented the University’s research strengths in intelligent robotics, artificial intelligence (AI), and interdisciplinary research at the interface of medicine and engineering. The Renji Hospital delegation shared progress in the development and clinical applications of bio-welding technology.🤖

The delegation also visited PolyU Artificial Intelligence and Robotics Laboratory, gaining first-hand insights into the University's research capabilities and talent development in AI and robotics, while exploring the application potential of cutting-edge robotic technologies in healthcare.

Looking ahead, PolyU will continue to strengthen ties with Chongqing University Renji Hospital, leveraging interdisciplinary strengths in medicine, precision engineering and AI to advance collaborative R&D and accelerate innovation in bio-welding surgical robots, contributing to the future of medical technology.

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理大研究團隊開發可信人工智能框架TRUECAM 提升病理人工智能癌症診斷可靠性

癌症診斷結果直接影響患者的治療方案及預後，甚至關乎生命。傳統病理診斷主要依靠病理學家在顯微鏡下觀察和分析組織切片，並憑藉專業經驗作出判斷。近年，人工智能技術在病理診斷中的應用（簡稱「病理人工智能」）發展迅速，有助提升診斷效率及輔助臨床決策。然而，現有人工智能模型仍缺乏完整且可驗證的機制，以確保診斷結果的可靠性，限制了相關技術在高風險臨床場景中的應用。

為應對這項挑戰，理大工業及系統工程學系助理教授張曉革教授及其研究團隊，創新研發出一套可信人工智能框架TRUECAM。該框架可應用於全切片影像分析，用作非小細胞肺癌亞型分類，同時提升數據和人工智能模型的可驗證可靠性，為病理人工智能在癌症診斷中的安全應用奠定重要基礎。

TRUECAM不僅適用於非小細胞肺癌亞型分類，亦可拓展至乳癌、腦癌和腎癌的亞型分類，甚至涵蓋 46 個類別的泛癌切片分類，充分展現其廣泛應用潛力及臨床轉化價值。

張教授表示：「TRUECAM 在『完全由病理人工智能主導』和『完全由病理學家主導』的癌症診斷之間取得良好平衡。當人工智能對診斷結果信心較高時，系統可協助處理較明確的病例；至於不確定性較高的病例，則會被標記並交由病理學家作深入檢視和臨床判斷。」

𝐏𝐨𝐥𝐲𝐔 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐭𝐞𝐚𝐦 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐬 𝐭𝐫𝐮𝐬𝐭𝐰𝐨𝐫𝐭𝐡𝐲 𝐀𝐈 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤 𝐓𝐑𝐔𝐄𝐂𝐀𝐌 𝐭𝐨 𝐞𝐧𝐡𝐚𝐧𝐜𝐞 𝐫𝐞𝐥𝐢𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐨𝐟 𝐩𝐚𝐭𝐡𝐨𝐥𝐨𝐠𝐲 𝐀𝐈 𝐢𝐧 𝐜𝐚𝐧𝐜𝐞𝐫 𝐝𝐢𝐚𝐠𝐧𝐨𝐬𝐢𝐬

Cancer diagnoses directly affect treatment decisions and prognosis and can even have life-altering consequences. Traditional pathological diagnosis primarily relies on pathologists examining and analysing tissue slides under a microscope and making judgements based on their professional experience. In recent years, the application of artificial intelligence (AI) in pathology diagnosis (pathology AI) has advanced rapidly, helping to improve diagnostic efficiency and support clinical decision-making. However, many existing AI models still lack a complete and verifiable mechanism to ensure the reliability of diagnostic outcomes, limiting the application of such technology in high-stakes clinical settings.

To tackle this challenge, 𝐏𝐫𝐨𝐟. 𝐙𝐇𝐀𝐍𝐆 𝐗𝐢𝐚𝐨𝐠𝐞, 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐨𝐫 𝐨𝐟 𝐭𝐡𝐞 𝐃𝐞𝐩𝐚𝐫𝐭𝐦𝐞𝐧𝐭 𝐨𝐟 𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐢𝐚𝐥 𝐚𝐧𝐝 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐚𝐭 𝐏𝐨𝐥𝐲𝐔, and his research team have developed an integrated AI framework named TRUECAM. Applied to whole-slide image analysis for non-small cell lung cancer subtyping, the framework ensures both data and model trustworthiness, laying an important foundation for the safe application of pathology AI in cancer diagnosis.

TRUECAM is applicable not only to non-small cell lung cancer subtyping, but can also be extended to breast, brain, and kidney cancer subtyping tasks, as well as a 46-class pan-cancer slide-level classification setting, demonstrating its broad application potential and clinical translational value.

Prof. Zhang said, “TRUECAM strikes a sound balance between fully pathology AI-powered and purely pathologists-led cancer diagnosis. When the model’s confidence in its diagnostic outputs is high, the system can help handle clear-cut cases, while uncertain cases are flagged and passed on to pathologists for further review and clinical judgement.”

More / 更多: https://polyu.hk/PgiSZ

理大參與「2026香港英才北京行」 探索京港科技發展新機遇✨

理大化學系助理教授于涵教授與土木及環境工程學系研究助理教授孫瀟昊博士，於8月10日至15日參加由北京海外學人中心與香港北京高校校友聯盟（京校聯） 聯合主辦的「2026香港英才北京行」活動。

是次活動為期六天，旨在推動京港兩地人才交流，促進教育、科技與創新融合發展。活動期間，代表團深入走訪北京多個科技創新高地，包括國家級重點實驗室、前沿研發平台、領先科技企業及創新孵化中心等。🏢

代表團有機會參與多場專題交流及項目對接活動，圍繞人工智能及前沿信息技術、新能源及先進材料、智能網聯汽車等領域，與海外創新人才進行學術對話，探討合作機遇。

🔭此外，代表團實地考察懷柔區重大科研設施及國家級科技基礎設施，通過沉浸式、實踐體驗前沿科研，並參訪中關村科學園，全面了解北京創新生態體系，以及科技成果轉化與初創企業孵化等支援機制。

𝐏𝐨𝐥𝐲𝐔 𝐣𝐨𝐢𝐧𝐞𝐝 𝐭𝐡𝐞 "𝟐𝟎𝟐𝟔 𝐇𝐨𝐧𝐠 𝐊𝐨𝐧𝐠 𝐓𝐚𝐥𝐞𝐧𝐭𝐬 𝐁𝐞𝐢𝐣𝐢𝐧𝐠 𝐓𝐨𝐮𝐫" 𝐭𝐨 𝐞𝐱𝐩𝐥𝐨𝐫𝐞 𝐧𝐞𝐰 𝐨𝐩𝐩𝐨𝐫𝐭𝐮𝐧𝐢𝐭𝐢𝐞𝐬 𝐟𝐨𝐫 𝐁𝐞𝐢𝐣𝐢𝐧𝐠-𝐇𝐨𝐧𝐠 𝐊𝐨𝐧𝐠 𝐭𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐜𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧✨

𝐏𝐫𝐨𝐟. 𝐘𝐔 𝐇𝐚𝐧, 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐨𝐫 𝐨𝐟 𝐭𝐡𝐞 𝐃𝐞𝐩𝐚𝐫𝐭𝐦𝐞𝐧𝐭 𝐨𝐟 𝐂𝐡𝐞𝐦𝐢𝐬𝐭𝐫𝐲, and 𝐃𝐫 𝐒𝐔𝐍 𝐗𝐢𝐚𝐨-𝐇𝐚𝐨, 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐀𝐬𝐬𝐢𝐬𝐭𝐚𝐧𝐭 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐨𝐫 𝐨𝐟 𝐭𝐡𝐞 𝐃𝐞𝐩𝐚𝐫𝐭𝐦𝐞𝐧𝐭 𝐨𝐟 𝐂𝐢𝐯𝐢𝐥 𝐚𝐧𝐝 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐚𝐥 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐨𝐟 𝐏𝐨𝐥𝐲𝐔, participated in the “2026 Hong Kong Talents Beijing Tour” from 10 to 15 August. The event was co-organised by the Beijing Overseas Scholars Centre and the Hong Kong Alumni Association of Beijing Universities.

The six-day programme aimed to deepen talent exchange and promote integrated development in education, technology, and innovation between Beijing and Hong Kong. During the tour, the delegation visited a wide range of innovation hubs across Beijing’s science and technology ecosystem, including national-level key laboratories, advanced R&D platforms, leading technology enterprises and innovation incubation centres. 🏢

Participants also participated in thematic exchanges and project matchmaking sessions, engaging with overseas innovation talent and exploring collaboration opportunities in areas such as artificial intelligence, frontier information technologies, new energy, advanced materials, and intelligent connected vehicles.

🔭In addition, the delegation toured major research and innovation facilities in Huairou, gaining first-hand exposure to national scientific infrastructure and frontier research developments. The visit to Zhongguancun Science Park further provided valuable insights into Beijing's innovation ecosystem, technology transfer mechanisms, and startup incubation environment.

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理大青年研究人員榮獲 FutureAM突破獎

理大工業及系統工程學系助理教授陳子斌教授榮獲「FutureAM 突破獎」，以表彰他在先進製造領域的卓越研究表現。

陳教授的主要研究方向為設計兼具卓越結構、功能與應用性能的可持續材料，並解決不同材料體系中的實際工程挑戰。他在研發低合金、低成本且高性能的可持續金屬合金，以及用於能量儲存與壓電應用的破紀錄鐵電材料方面的研究，獲得國際廣泛關注。

「FutureAM突破獎」每年頒授予在先進製造領域內，學術表現卓越及持續獲得國際認可的青年研究人員。該獎項於第二屆國際增材製造未來大會期間頒發，會議今年於新加坡舉行，為全球最大先進製造學術社群之一。

PolyU young researcher awarded FutureAM Breakthrough Award

Prof. Zibin Chen, Assistant Professor in the Department of Industrial and Systems Engineering at PolyU, has been honoured with the FutureAM Breakthrough Award in recognition of his distinguished research in advanced manufacturing.

Prof. Chen’s primary research goal is to design sustainable materials that provide superior structural, functional and service properties, and to address practical engineering challenges across different material systems. His work on developing low-alloy, low-cost, and high-performance sustainable metal alloys, as well as record-breaking ferroelectric materials for energy storage and piezoelectric applications, has attracted considerable attention worldwide.

The FutureAM Breakthrough Award is presented annually to recognise outstanding mid-career researchers in advanced manufacturing who demonstrate growing recognition for their contributions. The award was presented during the 2nd International Conference on Future of AM 2026 in Singapore, one of the largest international communities in advanced manufacturing.

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https://polyu.hk/GbwLT

【AI x 高等教育：重塑未來教學模式🎓】

AI 席捲各行各業，高等教育亦迎來重大蛻變：大學在 AI 世代究竟扮演甚麼角色？理大副校長（教學）曹建農教授早前作客新城財經台《AI 進化論》🎙️，為大家帶來深度剖析。

傳統課堂以教師為中心，學生各有不同興趣，卻受制於劃一的「聽講座、吸收內容」被動模式。理大推出的『理大教育 4.0』框架，將學習主導權交還學生，讓教師轉型為專業引導者。學生可借助 AI 工具，按個人興趣定制專屬學習路徑，充分釋放跨學科的學習潛力。

同時，AI 普及亦帶來全新的教育議題。曹教授於節目中分享理大如何鼓勵學生善用 AI 輔助學習，同時著力培育其獨立思辨能力與資訊辨別力，確保科技成為賦能學習的正面力量。✨

📺 重溫今集專訪，了解理大如何以創新框架推動高等教育轉型：https://youtu.be/QVxN8onelmM?si=J2b5U043eP8Yz4XU

【 AI x Higher Education: Reshaping the Future of Learning 🎓 】

As AI transforms industries worldwide, higher education is undergoing a major shift: what role should universities play in the AI era? Prof. CAO Jiannong, PolyU Vice President (Education), joined Metro Finance’s show “AI in Action” 🎙️ to share his insights.

Traditional lectures are teacher-centric, leaving students with diverse interests constrained by a passive, one-size-fits-all model. PolyU’s Education 4.0 framework hands learning ownership back to students, transitioning educators into expert mentors. Empowered by AI tools, students can tailor personalised learning pathways based on their passions, unlocking their full interdisciplinary potential.

At the same time, the widespread adoption of AI brings new educational responsibilities. Prof. Cao discussed how PolyU encourages students to leverage AI while fostering critical thinking and information literacy, ensuring technology remains a positive force for learning. ✨

📺 Watch the full interview to see how PolyU is driving transformation in higher education: https://youtu.be/QVxN8onelmM?si=J2b5U043eP8Yz4XU

#香港理工大學 #新城財經台 #人工智能

理大研發人工智能虛擬病人模擬系統 革新臨床診療護理 動態整合多模態數據 推動個人化癌症精準治療

理大醫療科技及資訊學系副教授陳穎志教授及其研究團隊突破傳統靜態診斷的局限，成功研發以患者為中心的「人工智能（AI）虛擬病人模擬系統」。該系統透過動態整合患者的基因、醫學影像及臨床等多模態數據，構建可持續更新的「數碼雙生」模型，不但能實時追蹤病情變化，更可預測不同癌症治療方案的潛在成效，協助醫護團隊制定更精準、個人化的醫療方案。

此創新結合醫護端平台及患者端流動應用程式，能因應患者病情的實時轉變進行預測分析，並模擬不同治療方案的成效，為臨床診斷、病情監測及治療評估提供智能支援。系統尤其適用於病情變化複雜、治療選擇多元且醫療成本高昂的癌症及重症治療，為精準醫療發展注入新動力。

陳穎志教授表示：「『AI虛擬病人模擬系統』是一個集診斷、監測與治療評估於一體的創新綜合平台。系統除了能揭示多模態數據之間細微而關鍵的病理關聯，亦可擔當『監測哨兵』的角色，當患者的生物標記或症狀出現異常時，即時向醫護團隊發出提示。這項具變革性的技術有助縮短診斷與評估時間，支援醫護人員為癌症及重症患者制定更精準、高效的個人化治療方案。」

𝐏𝐨𝐥𝐲𝐔 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐬 𝐀𝐈-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐯𝐢𝐫𝐭𝐮𝐚𝐥 𝐩𝐚𝐭𝐢𝐞𝐧𝐭 𝐬𝐢𝐦𝐮𝐥𝐚𝐭𝐢𝐨𝐧 𝐬𝐲𝐬𝐭𝐞𝐦 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐧𝐠 𝐦𝐮𝐥𝐭𝐢𝐦𝐨𝐝𝐚𝐥 𝐝𝐚𝐭𝐚 𝐭𝐨 𝐚𝐝𝐯𝐚𝐧𝐜𝐞 𝐩𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢𝐬𝐞𝐝 𝐜𝐚𝐧𝐜𝐞𝐫 𝐭𝐫𝐞𝐚𝐭𝐦𝐞𝐧𝐭

𝐏𝐫𝐨𝐟. 𝐋𝐚𝐰𝐫𝐞𝐧𝐜𝐞 𝐂𝐇𝐀𝐍, 𝐀𝐬𝐬𝐨𝐜𝐢𝐚𝐭𝐞 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐨𝐫 𝐨𝐟 𝐭𝐡𝐞 𝐏𝐨𝐥𝐲𝐔 𝐃𝐞𝐩𝐚𝐫𝐭𝐦𝐞𝐧𝐭 𝐨𝐟 𝐇𝐞𝐚𝐥𝐭𝐡 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 𝐚𝐧𝐝 𝐈𝐧𝐟𝐨𝐫𝐦𝐚𝐭𝐢𝐜𝐬, and his research team have developed a patient-centric “Artificial Intelligence (AI) Virtual Patient Simulation System”, overcoming the limitations of conventional static diagnosis. By dynamically integrating multimodal patient data, including genomic data, medical imaging and clinical records, the system creates a continuously updated “digital twin” model. It can not only track changes in a patient’s condition in real time, but also predict the potential effectiveness of different cancer treatment options, helping healthcare teams formulate more precise and personalised medical solutions.

Combining a platform for healthcare professionals with a patient-facing mobile application, the system can conduct predictive analyses in response to real-time changes in a patient’s condition and simulate the effectiveness of different treatment options. It provides intelligent support for clinical diagnosis, condition monitoring and treatment assessment. The system is particularly suitable for cancer and critical care, where disease progression can be complex, treatment options diverse and medical costs high, injecting fresh impetus into the development of precision medicine.

Prof. Chan said, “The AI Virtual Patient Simulation System is an innovative and comprehensive platform that integrates diagnosis, monitoring and treatment assessment. In addition to identifying subtle yet crucial pathological connections across multimodal data, the system can also act as a ‘monitoring sentinel’, alerting healthcare teams when a patient’s biomarkers or symptoms show abnormalities. This transformative technology helps to shorten diagnosis and assessment times, supporting healthcare professionals in developing more precise, effective and personalised treatment plans for patients with cancer or other critical illnesses.”

More / 更多: https://polyu.hk/EjDpH

理大歡迎漢陽大學到訪 共拓科研合作與可持續發展💡

理大歡迎韓國漢陽大學代表團於 8月12日到訪。代表團由漢陽大學提升國際合作研究專責小組的 Sungrae Cho 先生率領，雙方就推動跨學科研究合作及可持續發展等議題進行深入交流，共同探討高等院校如何攜手應對全球可持續發展挑戰。

會上，漢陽大學分享了其最新發展與成果，包括在《泰晤士高等教育（THE）可持續發展影響力評級2026》榮登韓國首位，充分展現其將可持續發展理念融入教育、研究及大學管治的卓越成效。📈

理大則介紹了其跨學科優勢，以及理大人工智能高等研究院（PAAI）在醫療健康、智能助手、教育革新及產學研協作等領域的最新成果。透過這些前沿研究與創新項目，理大正積極推動香港及粵港澳大灣區發展成為具全球影響力的人工智能創新樞紐。

雙方致力於卓越研究和可持續發展，此次訪問為開拓合作機遇，建立具影響力的雙邊研究合作平台。

𝐏𝐨𝐥𝐲𝐔 𝐰𝐞𝐥𝐜𝐨𝐦𝐞𝐬 𝐇𝐚𝐧𝐲𝐚𝐧𝐠 𝐔𝐧𝐢𝐯𝐞𝐫𝐬𝐢𝐭𝐲 𝐃𝐞𝐥𝐞𝐠𝐚𝐭𝐢𝐨𝐧 𝐭𝐨 𝐞𝐱𝐩𝐥𝐨𝐫𝐞 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐚𝐧𝐝 𝐬𝐮𝐬𝐭𝐚𝐢𝐧𝐚𝐛𝐢𝐥𝐢𝐭𝐲 𝐜𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧💡

PolyU was delighted to welcome a delegation from Hanyang University (HYU), Korea, on 12 August. Led by 𝐌𝐫 𝐒𝐮𝐧𝐠𝐫𝐚𝐞 𝐂𝐡𝐨, 𝐇𝐞𝐚𝐝 𝐨𝐟 𝐭𝐡𝐞 𝐓𝐚𝐬𝐤 𝐅𝐨𝐫𝐜𝐞 𝐨𝐧 𝐄𝐧𝐡𝐚𝐧𝐜𝐢𝐧𝐠 𝐈𝐧𝐭𝐞𝐫𝐧𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐯𝐞 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡, the delegation visited PolyU to exchange insights on advancing interdisciplinary research and sustainable development. The discussions also explored opportunities for collaboration among universities to address global sustainability challenges.

During the meeting, HYU shared its latest developments and achievements, including its recognition as the top-ranked university in Korea in the Times Higher Education (THE) Sustainability Impact Rankings 2026. This achievement reflects its strong commitment to embedding sustainability across education, research, and governance.📈

PolyU also showcased its interdisciplinary strengths and highlighted the work of the PolyU Academy for Artificial Intelligence (PAAI) in driving cutting-edge developments in healthcare, intelligent assistants, education transformation, and industry-academia collaboration. Through these initiatives, PolyU helps strengthen Hong Kong and the Greater Bay Area’s position as a global hub for AI innovation.

As both universities continue to pursue excellence in research and sustainability, the visit provided a valuable platform to explore new opportunities for collaboration and to establish impactful bilateral research partnerships.

理大研發可穿戴微針貼片 助常規超聲波儀器持續監測血糖

理大研究團隊開發了一種無酶、可穿戴、聲學可讀的微針貼片（ARMPatch）。只要把微針貼片貼在皮膚上，利用常規超聲波探頭讀取相關參數，即可持續反映血糖水平的變化。

這項研究由理大機械工程學系系主任、智慧結構與系統講座教授蘇眾慶教授帶領完成。

蘇教授表示：「我們研發的ARMPatch，可作為任何一台超聲波設備的血糖監測配件，實現微創、經濟、長效而穩定的連續血糖監測。此成果為無酶連續血糖監測技術提供全新方案，並拓展超聲波技術在可穿戴生物感測和健康監測領域的應用。」

不少糖尿病人已使用可攜式或穿戴式超聲波設備，長期居家監測心臟病和腎臟病等併發症。對他們而言，使用ARMPatch無需添置任何定製硬件，利用現有設備即可持續監測血糖。

𝐏𝐨𝐥𝐲𝐔 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐬 𝐰𝐞𝐚𝐫𝐚𝐛𝐥𝐞 𝐦𝐢𝐜𝐫𝐨𝐧𝐞𝐞𝐝𝐥𝐞 𝐩𝐚𝐭𝐜𝐡 𝐭𝐨 𝐞𝐦𝐩𝐨𝐰𝐞𝐫 𝐜𝐨𝐧𝐯𝐞𝐧𝐭𝐢𝐨𝐧𝐚𝐥 𝐮𝐥𝐭𝐫𝐚𝐬𝐨𝐮𝐧𝐝 𝐟𝐨𝐫 𝐜𝐨𝐧𝐭𝐢𝐧𝐮𝐨𝐮𝐬 𝐠𝐥𝐮𝐜𝐨𝐬𝐞 𝐦𝐨𝐧𝐢𝐭𝐨𝐫𝐢𝐧𝐠

PolyU researchers have developed an enzyme-free, wearable, acoustically readable microneedle patch “ARMPatch”. Once applied to the skin, it can be read by a standard ultrasound probe to continuously reflect changes in blood glucose levels.

The research was led by 𝐏𝐫𝐨𝐟. 𝐒𝐔 𝐙𝐡𝐨𝐧𝐠𝐪𝐢𝐧𝐠, 𝐇𝐞𝐚𝐝 𝐨𝐟 𝐭𝐡𝐞 𝐃𝐞𝐩𝐚𝐫𝐭𝐦𝐞𝐧𝐭 𝐨𝐟 𝐌𝐞𝐜𝐡𝐚𝐧𝐢𝐜𝐚𝐥 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐚𝐧𝐝 𝐂𝐡𝐚𝐢𝐫 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐨𝐫 𝐨𝐟 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐭 𝐒𝐭𝐫𝐮𝐜𝐭𝐮𝐫𝐞𝐬 𝐚𝐧𝐝 𝐒𝐲𝐬𝐭𝐞𝐦𝐬 𝐚𝐭 𝐏𝐨𝐥𝐲𝐔. Prof. Su said, “The ARMPatch that we have developed serves as a blood glucose monitoring accessory for any regular ultrasound probe, achieving minimally invasive, cost-effective, long-lasting, and stable continuous blood glucose monitoring. This approach offers a novel solution to enzyme-free CGM and expands the application of ultrasound technology in the fields of wearable biosensing and human health monitoring.”

Many people with diabetes already use portable or wearable ultrasound devices for long-term home monitoring of complications such as heart disease and kidney disease. For them, the ARMPatch requires no additional custom hardware — existing devices can be used to continuously monitor blood glucose.

More / 更多: https://polyu.hk/qBUaU