Institute of Biotechnology and Pharmaceutical Research at National Health Research Institutes

待補

INTAI TECHNOLOGY CORPORATION

Orthopedic implants and surgical instruments in healing bone fracture.

Kaohsiung Medical University, National Chiao Tung University

New generation lower limb rehabilitation system can observe the electrophysiological activity of the central nervous system through the wearable electroencephalogram monitoring system. At the same time, Notch gait analysis system can detect the joint activity of the patient during rehabilitation. When the gait performance of the affected side foot is poor, functional electrical stimulator will also be used to assist the user in rehabilitation training. Patients using this system can confirm objective exercise performance through daily numerical results and understand changes in their brain wave and joint activity. Mixed-reality music rehabilitation game incorporates performance scoring and difficulty adjustment mechanisms. The scoring mechanism is used to motivate patients to autonomously want to make large-scale movements, and training content of different difficulties makes patients challenged. Furthermore, it could encourage patients to continue to recover as much as possible and maximize the rehabilitation effect.

KeMyth Biotech Co., Ltd.

It is a pleasure for KeMyth Biotech to introduce our platform technology and products as follows. Please join our booth for the details in Taiwan Healthcare+ Expo 2019.
(1) Rapid diagnostic kit: KeMyth product, Klebsiella pneumoniae serotype K1/K2 rapid testing cassette (Taiwan FDA License No.007019), has been used by medical centers in Taiwan, published in leading journals (2016, J Clin Microbiol 54, 3018-3021; 2019, Gut Pathog, 11:11), and earned the 13th National Innovation Award in Taiwan.
(2) Platform technology: KeMyth product, antibiotic testing and screening system against superbugs, has been published in a leading journal (2017, J Antimicrob Chemother 72, 3302-16) and has been used by pharmaceutical companies in USA, France or Japan.
(3) Drug development: a candidate drug to control type 2 diabetes, atherosclerosis, and body weight. The U.S. patent number is 10,287,328 B2.
(4) Natural food: Exquisite Ginger Tea; Natural Capsules.
(5) Skin care: Purifying Hydration Mask.

Litten Inc

Carbon sensitized photocatalyst with silver spray can

MedicalTek Co., Ltd.

MonoStereo converts 2D endoscope images into 3D and can adjust parameters for surgeons to perform in the most comfortable state. Research found MonoStereo can save 25% of time in specific procedures.

Microtek International Inc.

Wearable Painless Real-Time Glucose Monitoring System and Cloud Data Platform

Mizar International Consultant Limited

Eye Tracking Communication System

Molsentech

Our semiconductor-based biosensor platform is an ultra-high sensitivity
device that can detect diseases with minimum targets or pathogens.
Currently, our solution is the only one that can be used to detect
multiple biomarkers with minimum samples. The platform will be applied
to the detection of various diseases after being fully developed, and
the first application is the detection of acute kidney disease. The
platform runs on Bio-FET core technology that offers many competitive
advantages over existing optical-based solutions; the advantages
include being label free, real-time, high accurate, ultra-high sensitivity,
multi-probes, and importantly cost-effective thanks to the foreseeable
mass production of semiconductor biosensors and systems.
The value of this platform is that it will be an IVD device that makes
the prevention of diseases possible by detecting minimal molecules
before symptoms appear; for the cases that symptoms have come out,
it can provide doctors with real-time and precise detection reports to
maximize the cure rate. We have successfully built up the prototype
and are on the phase of pre-clinical; we have established a barrier to
entry and expect to become a Taiwan-based unicorn.

National Cheng Kung University / The Team of Distinguished Professor Yung-Nien Sun

According to the 2018 World Health Organization Annual Report, tuberculosis is one of the top ten causes of death worldwide, and is the most infectious chronic disease in the world. Since the number of new cases and deaths are huge in each year, early detection, treatment, and infection control is vital.
Clinically, the first line of detection is done via microscopic examination of acid-fast stained bacilli. However, this method is time consuming and prone to human error due to inconsistent judgement. Hence, a patented technology for automated detection and identification of TB microscopic image is urgently needed. Our research team proposed a fully automated and highly accurate technique which includes a high-speed image acquisition with automatic focusing and TB identification with deep learning technique. The system achieves very high accuracy better than 95%, and is more accurate and stable than the traditional image processing methods.
Consequently, the proposed system can reduce the workload of medical laboratory scientists and improve the overall quality of clinical examination. It can also enhance the global TB prevention system and save human lives from this highly infectious disease through international promotion.