Room 701, No. 3 Sassoon Rd, Hong Kong SAR, China
Department of Orthopaedics and Traumatology, HKUMed
Teng Grace Zhang
Assistant Professor
Coordinator of Translational Research, PhD，MBME., BMed
Digital Health Laboratory, Department of Orthopaedics and Traumatology, Medicine School, the University of Hong Kong.
Dr Teng Grace Zhang is currently an Assistant Professor and Coordinator of Translational Research of the Department of Orthopaedics and Traumatology, at The University of Hong Kong, who came to Hong Kong and founded the Digital Health Laboratory in 2018.
Grace is a biomedical engineer with a medical background. Most of Grace’s research combines both disciplines by focusing on the modelling of biological systems with direct clinical applications, including digital health, auto-diagnosis, optimised treatment planning and tracking to facilitate real-time feedback with minimal harm and improved outcomes.
Previously, Grace worked for nearly seven years as a Scientific Officer at the St George Clinical School of the University of New South Wales (UNSW), Sydney, Australia. All Grace’s tertiary education, including her PhD (Australian Postgraduate Award) was completed at UNSW. Grace also has experience running multiple instruments and drug trials funded by Medtronic and Sigma. She’s experienced in managing a new system developed as she worked in Kunovus Australia for two years as a system engineer prior to coming to the University of Hong Kong—senior members of IEEE and EMBS, as well as members of AO and ISSLS, etc. The current ongoing projects include HMRF19200911 on AIS digital health, HMRF21223141 on AI management of MSK disorders, PRP/078/21FX for surgical planning, ITS/286/22FP for AI-assisted Bone tumour treatments and other RGC/NSFC supports. Academic metrics consist of h-index: 24; citations: 1702; supervise/cosupervise 11 research students; and over ten academic/industrial awards.
Completed funded projects:
HMRF08192266 on light-based AI-driven malalignment quantification;
ITS/329/19 for anti-migration bone screws;
MRP/038/20X for non-radiation AI diagnosis;
AOSpine for automated spine malalignment screening
Publication
Publication / Junior
Zhang T, Li Y, Cheung JPY*, Dokos S, Wong K
2021, Learning-based coronal spine 1 alignment prediction using smartphone-acquired scoliosis radiograph images, IEEE Access 9, 38287 - 38295, doi: 10.1109/ACCESS.2021.3061090
Zhang T*, Ren X, Feng X, Diwan A, Luk KDK, Lu WW, Wong TM, Li C, Cheung JPY*
2020, Failure mechanisms of pedicle screws and cortical screws fixation under large displacement: A biomechanical and microstructural study based on a clinical case scenario, Journal of the Mechanical Behavior of Biomedical Materials, doi:
10.1016/j.jmbbm.2020.103646
Zhang T, Sze KY, Peng ZW, Cheung KMC, Lui YF, Wong YW, Kwan KYH, Cheung JPY*
2020, Systematic investigation of metallosis associated with magnetically controlled growing rod implantation for early onset scoliosis, The Bone & Joint Journal 102 B(10):1375-1383
Kuang X, Cheung JPY, Ding X, Zhang T*
2021, SpineGEM: A Hybrid-Supervised Model Generation Strategy Enabling Accurate Spine Disease Classification with a Small Training Dataset, Medical Image Analysis: International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI): 145-154
Zhang T, Zhu C, Zhao Y, Zhao M, Wang Z, Song R, Meng N, Sial A, Diwan A, Liu J, Cheung JPY*
2023, Deep Learning Model to Classify and Monitor Idiopathic Scoliosis in Adolescents Using a Single Smartphone Photograph, JAMA Network Open 6(8): e2330617-e2330617
Fundings & Grants
Grant and Industrial Records
2024/12 - 2027/11
PI of HMRF 2023/2024 21223141 A multi-center prospective validation of ‘MSKalign’ digital low back pain management platform enabling AI auto-evaluation, personalized physiotherapy prescription, and dynamic disease progression prediction
2024-2026
PI of ITC ITS/286/22FP Artificial Intelligence Aided Surgical Planning System for Malignant Bone Tumour Excision with Intraoperative Safety Monitoring
2023-2026
PI of NSFC Young Scientists Fund 2023 82303957 Study of robust spine tumour excision surgical auto-planning and safety monitoring system
2023-2025
PI of HMRF 2021/2022 19200911 A multi-center prospective validation of ‘SpineNets’ virtual spinal evaluation platform enabling non-contact AI auto-diagnosis and follow-up of spine malalignment
2022-2024
PI of NSFC/RGC Joint Research Scheme project (N_HKU753/21) Mechanism research of borosilicate bioactive glass modulating the microenvironment of bone regenerative and inhibiting on the bone tumors, (HK$ 1,185,561)
2022-2025
PI of ITC PRP/078/21FX A Radiation-free Artificial Intelligence Spine Surgery Planning System with Biomechanical Analysis of Fixation Stability
2021-2022
PI of HMRF 08192266 Clinical validation of a novel system enabling non-radiation spinal deformity prediction using a combination of artificial intelligence and depth sensing technologies
2021/06 - 2023/05
Co-I and project manager of ITC MRP/038/20X A Non-radiation Artificial Intelligence
Spine Deformity Diagnosis System
Awards and Translational Medical Research
2025
Asia Pacific Biomedical Engineering Consortium (APBEC) Young Scholar Award
2025
Gold Medal International Exhibition of Inventions of Geneva
2024
雄才杯創新創業大賽 優秀獎
2023
全球人工智慧產品應用創新創業大賽 (DEMO CHINA)人工智慧星銳賽 二等 獎
2022
Gold and Silver Medals International Exhibition of Inventions of Geneva
2017
iGlobal Sino-Australia Innovation & Entrepreneurship Competition 1st prize
2017
Zhongguancun Entrepreneur Competition ANZ region first prize
IEEE Senior member, CDHC 數字醫療委員會Committee, COITA 骨科創新與轉化專 業委員會 Committee
PI of more than 20 research grants (over HK$40 million from Innovation and Technology Commission, Research Grants Council, National Natural Science Foundation of China, and Health and Medical Research Fund)