2020Exhibitor List
0-9|A|B|C|D|E|F|G|H|I|J|K|L|M|N|O|P|Q|R|S|T|U|V|W|X|Y|Z|All
Keyword Search

Chimei Medical Center

Wireless flow trend monitoring and warning system

Chimei Medical Center

Multi-functional clothing for keeping babies wrapped

Chimei Medical Center

A Novel Nasopastric Tube with Wireless Chip

China Medical University & China Medical University Hospital/Professor Sheng-Teng Huang Team

Traditional Chinese medicine (TCM) is the primary option of alternative medicine in Taiwan. Among various TCM treatment approaches, concentrated Chinese Medicine Granules (CCMG) products are the leading options since they are covered by National Health Insurance. In clinical practice, however, the dosage and ratio of these extracts are not comparable to those of crude drugs learned from school or ancient TCM literatures. The differences of dosage may cause the discrepancy of treatment efficiency. The combination of multiple formulas in one prescription may also lead to repetition of some herbal ingredients, which may correlate with potential side effects or toxicity.
Artificial Intelligence for Prescription of Chinese Herbal Medicine is the collaborative model developed by Chinese Medical University and Taipei Medical University. The goal of this system is to validate dosage conversion and prescription simplification of CCMG products by text mining among the certificates of Chinese herbal medicine from Ministry of Health and Welfare. We further create the data visualization system to facilitate clinical use among TCM practitioners. The simplification of prescription may help TCM practitioners to save time and cost in pharmaceutical dispensing.

China medical university hospital/ Orthopedics Dr. Tsung-Li Lin team

Chronic periprosthetic infection is a devastating complication following total knee arthroplasty, and two-stage revision is gold standard for treatment due to high infection eradication rates (as high as 80–90%). The first stage includes removal of the prostheses, debridement, and temporary implantation of an antibiotic-loaded cement spacer to treat the infection. The second stage includes removal of the spacer and re-implantation of the prostheses after the infection control. The articulating spacer may provide better range of motion, improved functional outcome, and easier subsequent reimplantation. However, due to the rough design or unstable mechanical structure of the spacer which was hand-made by surgeons or sold in the market in Europe and the United States, several articulating spacer-related mechanical complications had occurred. These problems might lead to further surgery, poor functional outcomes, prolonged treatment courses during interim stage, and difficulty in reimplantation. We use 3D printing technology based on the retrieved knee prosthesis: including “3D scanning”, “reverse engineering”, “computer-aided design” technology to optimize and improve the structure of the spacer to reduce mechanical complications; and use “computer-aided manufacturing” technology to produce several sizes of trials and re-sterilized silicone molds, which simplify the surgical procedures during surgery. Our study found that the “computer-aided design and manufacturing”-articulating spacer in two-staged revision of periprosthetic knee infection significantly controlled infection, improved clinical outcomes, increased range of motion, and decreased mechanical complications.
Cooperation projects and needs
1. novel computer-aided design (CAD)-articulating spacer

China medical university hospital/x-Dimension Center for Medical Research and Translation

Although, the prevention and treatment of cancer have been greatly improved over the recent years, cancer remains one of the greatest threats to human health. The search for treatment methods that are more efficient and specific had been vigorously investigated, especially for aiming to transition tumor environment scientific knowledge from in bench to bedside. Through the deepened understanding toward tumors, PS models with high specificity to truthfully reflect the cause, metastasis and treatment strategies. This project aims to create an automated tumor-on-a-chip (TOC) through patients’ cancer cells, combined with 3D printable, biodegradable polymers, for the strategizing of customized cancer treatments for precise medicine. In the development progress of PS biofabricated TOC, our team cooperated tightly with clinical Physicians and Surgeons to understand the clinical reality and the decision thinking of treatment strategies. With multi-disciplinary collaboration, our team applied and received several key patents such as biofabricated TOC, manufacturing method of 3D cell blocks and printable bioink. Those key patents and manufacturing knowhow can be integrated together and construct a bio-mimicking micro-environment for PS precision medicine. We believe that 3D bioprinting technology could have helped medicine industry to achieve the goal of precision medicine, in the end, the Taiwan medical technology could be enhanced through innovative precision devices and advanced to the worldwide.

China Medical University/Assoc. Prof. Yuh-Pyng Sher's team

ADAM9 protease inhibitors act as novel anti-cancer drugs
Effectively inhibiting cancer metastasis and prolonging patient survival is still an unmet medical need. The membrane protein ADAM9 is a key protease for the metastasis of various cancers. It is related to the poor prognosis of cancer patients and can be used as the target for cancer treatment. Therefore, the developed drugs targeting the ADAM9 protease function can have broad applications. Our cross-field cooperation team of China Medical University and Hospital is comprised of basic researchers, drug development experts, a physician-scientist, a bioinformatics expert, and a manager from a pharmaceutical biotechnology company. We have developed small compound inhibitors to inhibit the activity of ADAM9 protease and showed that they can reduce the cell growth of lung cancer, breast cancer, and pancreatic cancer. Moreover, we have proved that ADAM9 inhibitors have effective anti-cancer effects in preclinical animal models to reduce the metastasis of lung cancer, breast cancer, and pancreatic cancer with very low toxicity. It can strengthen the anti-cancer effect of existing chemotherapy or immunotherapy. The application scope of the technology is to strengthen the combination of existing chemotherapy or immunotherapy with ADAM9 inhibitors to reduce cancer recurrence.
Cooperation projects and needs
1. Drug formulation for oral administration
2. Animal toxicology testing

Chung Shan Medical University Hospital

The entire ADC+S project is divided into front-end hardware improvement to fit the actual process, and back-end software to build a new visual system monitoring, which is a unique ADC management mechanism.

Chung Shang Medical University Hospital

【A new Innovative Teaching Electronic Medical Record】 This year of 2020, combining with a number of outstanding large-scale technology companies, Chung Shan Medical University Hospital has successfully develop a new EMR system, so-call is teaching-EMR system.
The new innovative teaching-EMR system won the National Innovation Award in 2018, 2019, and 2020. This project integrates AI analysis function into EMR text analysis, to improving data analysis capability, clinical research capability, clinical decision-making capability, to fit education and teaching purpose, that can provide real-time analysis of EMR data, clinical research, and give physicians second reference opinions, and assist clinical teaching and education.
Cooperation projects and needs
1. Agents/distributors, and healthcare providers welcome to consult and collaborate.

Chung Shang Medical University Hospital

【A new Patient-centered electronic medical records based on SDM】Based on the innovative patient-centered electronic medical record, the Chung Shan Medical University Hospital won the National Innovation Award in 2018, 2019, and 2020. In this project, we develop the patient-centric EMR platform and integrate it with innovative AI technology and mobile devices. The project is a tripartite cooperation between industry, hospitals and academic universities. We develop an optimized AI solution, including medical image AI recognition and electronic medical records AI analysis. In addition, the new EMR platform has the function of converting unstructured data into structured data and performing real-time AI automatic disease classification (such as ICD-10 codes).
Cooperation projects and needs
1. Agents/distributors, and healthcare providers welcome to consult and collaborate.