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[2019/07/24]NYMU, NCTU and Sinica Established the Digital Medicine Alliance to Increase the Accuracy of Disease Prevention

National Yang-Ming University, National Chiao Tung University and the Academia Sinica “Digital Medicine Alliance” at the launching ceremony

 

On May 14th, NYMU announced the establishment of the “Digital Medicine Alliance.” Together with the National Chaio Tung University, Institute of Data Science and Engineering, and the Academia Sinica, Institute of Information Science, they are applying digital tools, such as the Internet of Things and Next Generation Sequencing to medicine with the aim of expanding the resolution and specificity of the various indicators used to monitor patients. In addition to this, AI analysis methods will be used to pinpoint individual characteristics that are able to increase accuracy during disease prevention. The first step is to target stroke, which is the fourth leading cause of death in Taiwan.

 

President Kuo, National Yang-Ming University, gave a welcome speech and remarked that National Yang-Ming University has been committed to integrating healthcare information for many years, and was the first university to establish an institute for Health Informatics, which later was transformed into Institute of Bioinformatics. The results obtained from the Digital Medicine Alliance’s task force will form an important contribution to all medical institutions. President Kuo also expects to build more partnerships through cooperation in the future.

 

Division Chief Hsu, Department of Academia-Industry Collaboration and Science Park Affairs, the Ministry of Science and Technology , declared that National Yang-Ming University is an expert in digital medicine, and is well supported by the MOST Global Research & Industry Alliance (GLORIA),. Ministry of Science and Technology expects GLORIA to help develop academic research, human talent, and new techniques in order to improve the profitability of industry.

 

          

  The opening remarks were made by President Kuo (left) and Division Chief Hsu (right).

 

As Taiwan has become an aged society, it is clear that the threat of stroke affecting people’s health will increase. This cooperation will initially target stroke, which is the fourth leading cause of death in Taiwan, with the aim of building an accurate medical platform based on AI for personalized diagnosis, treatment planning and prognosis. The AI will use numerical data, text, images, genetic variation, and other important information from medical records. In order to prevent disease, one can, for example, recommend a better diet and adjustments to lifestyle based on an individual's genetic make-up and their gut microenvironment; the effects of these adjustments can be tracked using the Internet of Things. For diagnosis, a neuroimaging AI network can be developed that is able to quickly separate hemorrhagic strokes from obstructive strokes during the prime time for treatment.

 

The 2019 Digital Medicine Summit/ Matching Forum

 

National Yang-Ming University Institute of Biomedical Informatics Professor Yang described the program as one that is aimed at establishing the “Google Maps for stroke.” He remarked that, using Google Maps, one becomes capable of precise navigation because the App stacks different layers of information, such traffic congestion, shops, and houses into one map. The human brain is not good at processing relevant links between large amounts of information, so, in medicine, we can only grasp some of the context of a stroke at a given moment. On the other hand, AI is able to quickly identify correlations between data and help “see the wood and the trees.” Furthermore, the sensitivity of molecular detection is much higher than that of imaging and is very suitable for early detection of disease, while the Internet of Things can then be used to track indicators and help with the monitoring of an individual's health status. The prevention and treatment of stroke will become an important reference point for the implementation and comprehensive development of digital medicine.

 

 

 

 

 


 

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