Your browser does not support JavaScript!
Google  

 

 

:::
[2019/01/31] Five Professors from NYMU Win the "2018 National Innovation Award"

This year (2018) marks the 15th "National Innovation Award," which represents the highest honor for innovative research and development in the field of biotechnology in Taiwan

 

The “National Innovation Award”, which represents the highest honor for innovative research and development in the field of biotechnology in Taiwan, on December 15, 2018, announced its 15th list of winners this year. National Yang-Ming University has won five awards, these individuals are Associate Professor Li from the Department of Medicine, Assistant Professor Lai from the Department of Biomedical Engineering, Prof. Hong from the Department and Institute of Pharmacology, Professor Tang from the Department and Institute of Physiology and Associate Professor Yang from the Institute of Clinical Medicine.

 

Associate Professor Li from the Department of Medicine and Assistant Professor Lai from the Department of Biomedical Engineering were in the Smart Medicine and Health Technology Group of the “Academic Research and Innovation Award”

 

Associate Professor Li from the Department of Medicine and Assistant Professor Lai from the Department of Biomedical Engineering won their award for research on the topic “Improving the Speech Recognition of Artificial Electronic Ear Implants using the Deep Learning Noise Elimination Method.” Lai remarked that although an artificial electronic ear or cochlear implant is able to effectively help improve the speech comprehension abilities of patients when there is a quiet environment, there remains room for improvement in noisy situations. In recent years, the use of a noise elimination method based on deep learning has been proposed. Deep learning is based using deep neural network, and such a noise elimination approach improves listening quality in noisy environment based on the characteristics of the sounds in the environment. The hearing benefit of this approach has been shown to be significant during clinical trials. The research is also the first to clinically prove that deep learning is able to effectively improve the hearing of patients with cochlear implant in a noisy situation, and in the process has opened up other research directions involving the development of cochlear implants with signal processing.

 

Prof. Li (right) shared the honor with Dean Li of Chen Hsin General Hospital

 

At the same time, the director of the Otorhinolaryngology and Medical Center for Hearing Loss at Chen Hsin General Hospital, Prof. Li and Dr. Cao from the Research Center for Information Technology Innovation of Academia Sinica and Professor Lai from the Department of Biomedical Engineering from NYMU were also honored with the 15th National Innovation Award as a group. Since the establishment of its electronic ear team in 2002, Cheng Hsin General Hospital will soon reach a total of 500 implants and overall accounts for about 20% of all cochlear implants carried out in Taiwan. Among them, half of these are international patients. Prof. Li said he was honored to receive the award and hopes that, in the future, with the help of the hearing loss research center at NYMU, their research results will be able to be commercialized and benefit more patients with hearing loss.

 

Assistant Professor Lai from the Department of Biomedical Engineering Hospital

 

Associate Prof. Lai remarked that the award is a great encouragement to researchers and he would like to express his highest respect for all the participants and research partners in the project. He also thanked Dr. Cao from the Academia Sinica and Director Li from Cheng Hsin General Hospital for their cooperation and efforts in bringing about the integration of medical engineering, information science and clinical medicine. In addition, he also expressed his appreciation to Professor Yang for his inspiration in the area of speech and hearing science in the past, which led him to continue to carry out research in this field.

 

Professor Hong from the Department and Institute of Pharmacology won the "Clinical Innovation Award" in the Clinical Application and Product Innovation Group

 

Professor Hong

 

Professor Hong received her award for her research "A Method and an Identification Kit that can be used to determine Sensitizing Drugs associated with Drug Allergies". Drug allergy is a common clinical problem and when drug allergies occur, it is very important to quickly determine which drug(s) the patient is sensitive to, which allows the drug(s) to not be prescribed and a serious allergic reaction avoided. However, due to the fact that patients often take multiple drugs at the same time, it is not easy to pinpoint the medicine that is a problem from the medical records alone. In order to solve this problem, Professor Hong’s team developed a method and a kit that allows the identification of the drug to which the patient has become sensitized. This involved growing the patient's immune cells with each individual suspect drug and its metabolites in vitro and then analyzing granulysin levels and the other immune responses of the immune cells. The method is able to quickly identify a drug to which the patient is sensitive and this allows patients to stop using the drug or drugs to which they are allergic immediately by switching to another safer effective drugs. Professor Hong said that her approach has several advantages. It is rapid, it is cost effective, it has high sensitivity and it has high specificity. To her, it was very gratifying that, after many years of hard work, the research had resulted in affirmation in the form of the National Innovation Award.

 

Professor Tang from the Department and Institute of Physiology, together with Associate Professor Yang from the Institute of Clinical Medicine won the "Clinical Innovation Award” in the Medical Devices and Equipment Group

 

     

  Prof. Tang (left) from the Department and Institute of Physiology and Associate Professor Yang from the Institute of Clinical Medicine

 

Professor Tang, together with Associate Professor Zhao from National Chiao Tung University and Associate Professor Yang from the Institute of Clinical Medicine of NYMU, won an award for their "Innovative and Non-Invasive Blood Flow Sensor." Tang said that access to blood flow measurements is very important for dialysis patients. However, at present, there is no low-cost, portable, non-invasive blood flow sensor that is suitable for use at home. In order to meet patients’ needs regarding medical and health monitoring, their team cooperated with National Chiao Tung University and EPISTAR to develop an innovative, portable, home-care blood flow sensor. It was able to replace the existing much larger ultrasonic blood flow meter presently in use. The new sensor is able to upload physiological information and the measurement results to a cloud server, and thus establish a personal database for the patient; these in turn will eventually form a giant medical database. In addition to allowing the calibration of the sensor, the database can be used by medical personnel to determine the health status of a patient. What’s more, the database will help with the development of a mobile app that can be used by family members or the patients themselves to monitor their health status. The app will also allow these individuals to connect with their hospital or medical center and allow automatically alerting of medical personnel when various emergencies occur; this will help with arranging an ambulance or surgery in advance in such circumstances. 

  

 

 

 

 

 


 

views