Chang Gung University Achieves Outstanding Success with 13 Wins at the 2025 National Innovation Awards.
The winners of the "22nd National Innovation
Awards"—regarded as the highest honor in Taiwan’s biomedical and
healthcare industries—have been announced. In 2025, Chang Gung University (CGU)
demonstrated robust R&D capabilities and strong industry-academia momentum.
This year, 13 technologies from CGU were selected for awards, comprising 7
Academic Research Innovation Awards, 4 Clinical Innovation Awards,
and 2 National Innovation Refinement Awards. These achievements, highly
acclaimed by the judges, underscore the University’s leadership in medical
technology and AI-driven smart care.
The Center for Technology Licensing and
Entrepreneurship (under the Office of Technology Cooperation) has long invested
funds and resources to support faculty in technology translation. Beyond
providing funding for development and prototype verification, the University
utilizes the CGU SPARK Office and the T5 GIP (Global Industry
Platform) to offer mentorship resources. This support enhances technology
maturity, allowing these innovations to shine on the national stage and attract
industry attention.
The four key technologies highlighted below, which
received university subsidies and mentorship to win this year's awards, are:
Non-invasive
Respiratory and Swallowing Function Detection System, Method, and
Application
Principal
Investigator: Professor Wan-Yun Hsieh (Department of Computer Science and
Information Engineering)
Description: This portable,
non-invasive handheld device synchronously detects neural coordination in
the nasal, oral, and pharyngeal cavities. Breaking through traditional
limitations, this technology makes a significant contribution to
respiratory and swallowing healthcare in an aging society.
Probiotic Screening
Platform for Improving Learning and Memory
Principal
Investigators: Professor Chia-Lin Wu (Department of Biochemistry) & Professor
Chih-Ho Lai (Department of Microbiology and Immunology)
Description: The team
established a screening platform to deeply evaluate the mechanisms by
which probiotics affect brain neural activity. This platform provides a
scientific analytical tool for validating probiotic functions,
facilitating precision development and innovation in related industries.
Intelligent Health
Promotion System with Precision Exercise Prescription
Principal
Investigators: Distinguished Professor Jong-Shyan Wang (Department of Physical
Therapy) & Clinical Professor Chih-Chin Hsu (Department of Physical
Medicine and Rehabilitation)
Description: A domestic pioneer
in integrating AI algorithms, normobaric hypoxic environments, and
patented ring-type multi-module exercise equipment. This innovation is
highly replicable and modular, making it suitable for long-term care
facilities, health centers, and private clinics, demonstrating strong
potential for international export.
AI-Empowered
Automated Diabetic Foot Detection and Risk Assessment System
Principal
Investigator: Associate Professor Ting-Ting Yeh (Master's Program in Health and
Long-term Care Industry)
Description: This system boasts
three key advantages: automatic speed, detailed data recording, and a low
barrier to adoption. With patent protection secured in both Taiwan and
the US, it is poised to address the massive global demand for diabetic
foot care.
Excellence in Clinical & Cross-Disciplinary
Applications
Beyond the highlighted projects, the collaboration
between Chang Gung University and Chang Gung Memorial Hospital continues to
yield exceptional results.
Academic Research
Innovation Awards were also granted to projects led by medical faculty, including
Cancer Combination Therapy (Clinical Associate Professor Yu-Sun Lin), Gut
Microbiome Restoration (Clinical Professor Huang-Yu Yang), and 3D Hip
Joint Detection (Clinical Associate Professor Pang-Yun Chou / Clinical
Associate Professor Szu-Heng Chen).
Clinical Innovation
Awards were presented to forward-looking medical technologies, including:
AI-Driven Home Sleep
Apnea Detection (Associate Professor Yi-Ping Chao, Department of
Artificial Intelligence)
Dental Digital
Obturator (Clinical Associate Professor I-Fang Huang, Graduate Institute
of Craniofacial and Oral Science / Clinical Assistant Professor Wei-Han
Chang, School of Traditional Chinese Medicine)
Stroke Subtype
Prediction (Clinical Associate Professor Yen-Chu Huang, School of
Medicine / Professor Prasan Kumar Sahoo, Department of Computer Science
and Information Engineering)
Brachial Plexus
Injury Prediction (Clinical Lecturer Yun-Tsung Cheng, School of Medicine)
National Innovation
Refinement Awards honored technologies that have demonstrated continuous optimization
and excellence:
Customized Extension
Mechanism Reconstruction (Clinical Professor Yu-Te Lin, School of
Medicine)
Minimally Invasive
Ear Endoscopic Surgery (Clinical Associate Professor Chin-Kuo Chen,
School of Traditional Chinese Medicine)
A Model of Successful Tech Transfer
Notably, the "Anti-Interferon-Gamma Human
Antibody" research by Distinguished Professor Cheng-Lung Ku’s team (Center
for Molecular and Clinical Immunology), which was licensed to Elixiron
Immunotherapeutics in 2017, helped the company win the "Corporate
Innovation Award" this year. This success further validates the effective
model of technology transfer and industry alignment at Chang Gung University.
Looking Ahead
The Office of Technology
Cooperation at Chang Gung University continues to drive campus innovation
programs. By assisting faculty in enhancing technology readiness, building
prototypes, and accelerating commercialization, the University actively
encourages participation in major domestic and international competitions.
These efforts ensure academic R&D results extend beyond the campus, linking
with industry to expand social and economic impact. The stellar performance at
the National Innovation Awards is a testament to the synergy between faculty
research energy and professional mentorship. Moving forward, CGU will continue
to serve as a bridge between academia and industry, utilizing systematic
guidance and resource infusion to discover more commercially viable
technologies and create a win-win future for all.