GLORIA
  • 2020 Dec 09
  • Global Research & Industry Alliance x Healthcare Conference to help industry develop innovative applicationstechnologies in healthcare
■Introduction
In order to help the industry grasp new opportunities amid the pandemic to connect with the global medical and biotechnology industries, the Global Research & Industry Alliance and the Institute for Biotechnology and Medicine Industry jointly organized the Global Research & Industry Alliance x Healthcare Conference during the Taiwan Healthcare Expo on the 3rd. They announced the results of several science and technology studies.  The fields cover prediction and prevention in AI biomedical technology, precision medical system, and IoT applications.  The goal is to highlight the value of key technologies, realize the value of academic research, and showcase the school's professional capabilities in the Global Research & Industry Alliance, further facilitating industry-academia collaboration and promoting schools' technologies.
 
Photo: The Global Research & Industry Alliance x Healthcare Conference was successfully held during the Taiwan Healthcare Expo on the 3rd, and the attending scholars and experts took a group photo.   Left to right: Distinguished Professor Assistant Principal Jinn P. Chu of National Taiwan University of Science and Technology, Professor and Assistant Principal Chen-Yu Chen of Taipei Medical University, Professor Hsu-Wei Fang of National Taipei University of Technology, Director Sakura Yang of the Administration Office of the Global Research & Industry Alliance, Professor and Chief Executive Officer Albert C. Yang of National Yang-Ming University, Professor Way-Zen Lee of National Taiwan Normal University and Professor Yi-Ching Chuang of Chang Gung University.

 
■Professor and Chief Executive Officer Albert C. Yang of National Yang-Ming University
Expert AI to accelerate brain image analysis to help doctors quickly identify neurological diseases for precision treatment
 
Neuropsychiatric disorders are an important public health issue.  However, the diagnosis can only rely on symptomatic criteria that are not easy to quantify or identify by the naked eye.   In order to help doctors quickly identify neuropsychiatric disorders, perform precision treatment and shorten the time required to interpret images, Yang-Ming University has developed a "smart brain imaging diagnosis platform," which invites experts to train the database and uses AI to analyze MRI images of brains to quickly identify specific neuropsychiatric disorders, so that doctors can find abnormal parts of brains before symptoms deteriorate and perform precision treatment through transcranial magnetic stimulation or transcranial ultrasound to improve patients' condition.   The smart brain imaging diagnosis platform has won the Future Technology Breakthrough Award from the MOST in 2019 and the National Innovation Award in 2020 and is now applying for patents in Taiwan, China, and the US at the same time.
 
■Professor Way-Zen Lee of National Taiwan Normal University
Biomimetic superoxide dismutase can eliminate superoxide free radicals to alleviate specific symptoms and can be stored at room temperature
 
After 10 years of hard work, Professor Way-Zen Lee has completed the research of superoxide dismutase (SOD) artificial enzyme through chemical synthesis to prevent mitochondria from being attacked, further reducing inflammation.   Superoxide dismutase can catalyze the dismutation of the superoxide radical into oxygen and hydrogen peroxide.   SOD is widely present in various animals, plants, and microorganisms.  It is an important antioxidant, but it is not easy to produce in large quantities in daily life and is not easy to store even if it is produced.   However, chemically synthesized SOD can be stored at room temperature for a long time and synthesized in large quantities.   The technology has obtained 8 patents in 7 countries, Taiwan, the US, Japan, Germany, Canada, the UK, and Malaysia.  Studies have shown that it can effectively delay neurodegenerative diseases and relieve symptoms such as an overactive bladder.
 
■Professor Yi-Ching Chuang of Chang Gung University.
Interactive VR gardening to prevent or relieve dementia symptoms of elders so they can be active at home
 
As Taiwan continues to trend toward an aging society, it is important to have seniors strengthen their physical functions, stimulate brain functions and meet emotional needs through interactive activities.  Chang Gung University has developed a VR software-hardware system utilizing gardening, Garden Coach.  Gardening requires physical activities, and cognitive tasks can be incorporated into the game to be more in line with daily life activities.  Seniors can use Garden Coach to experience planting, watering, fertilizing and harvesting through VR to reduce the chance of dementia.   Professional teams have empirically proved the training routine in Garden Coach.  The training routines have been implemented in communities nationwide for three years to have the necessary empirical and clinical experience.
 
■Professor Hsu-Wei Fang of National Taipei University of Technology
Begin with the end in mind.  Design biomedical equipment and materials based on the end market needs to shorten the timeline and reduce development costs.
 
The traditional development process for medical devices and biomedical materials relies on technology, and the process must face obstacles at multiple stages.  Materials development, design and manufacturing, product validation, permit acquisition and market sales all present different difficulties to be overcome.   In order to solve the pain points for Taiwan's SMEs in the medical devices business, the Biomedical Materials Surface Engineering Industry-Academia Technology Alliance of National Taipei University of Technology adopts the strategy of "Begin with the end in mind" to develop biomedical equipment and materials according to the final consumption models and incorporates technical support from the MT3 to shorten the time to market and ensure profitability for companies developing the products and sales channels.  The successful cases include breast prosthesis protection pouch,  lift threads and soft tissue fillers.
 
■Professor and Assistant Principal Chen-Yu Chen of Taipei Medical University
Deep learning to reduce the burden of interpreting low-dose lung CT screening and produce qualified and graded treatment reports
 
Lung cancer is the number one malignant tumor killer in Taiwan.  Most lung cancer patients are already in the terminal stage when they find out that they have the disease, increasing the treatment cost.  The government is considering gradually offering low-dose computed tomography screening subsidies to identify lung cancer in advance and treat the patients early.   However, this practice can add a significant workload for radiologists.  Taipei Medical University uses Deep-Lung, a pulmonary nodule CT imaging diagnosis assistant system, to help physicians quickly detecting and diagnosing suspicious lesions and produce recommending graded Lung-RADS reports close to international standards.  Radiologists then review the reports to shorten the process and reduce their workload.   In addition, Deep-Lung can provide one-shot-for-all analysis, which simultaneously performs lung cancer screening, coronary calcium scan, and vertebral loss detection, creating greater benefits.
 
■Distinguished Professor and Assistant Principal Jinn P. Chu of National Taiwan University of Science and Technology
Low-friction coefficient metallic glass coating (TPMG) to reduce needle insertion pain and post-injection inflammation
 
Traditional needles tend to have a greater surface friction coefficient and can cause pain to recipients when they are inserted.  The pain can increase under repeated use (such as microneedling, hair transplant, anesthesia, and others).  National Taiwan University of Science and Technology has developed a low-friction coefficient metallic glass coating technology (TPMG) that the needles coated with TPMG can ensure that the force required for each penetration is similar and also reduce pain.  Compared with the existing pure titanium coating and titanium oxide coating, its friction is smaller and the durability is higher.  As the needles have a low friction coefficient, the amount of tissue fluid from puncture wounds is small, so the recovery is quick.   The same material can be used in various medical fields, including tissue slicers, guidewires, antibacterial containers and anti-adhesive containers.  It does not come off as easily as a Teflon coating, so it has great potential for other application development.
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