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[2018/03/12] How innovative technology is making medical treatment smarter. A proposal from the Aging and Health Research Center.

Our hyper-age research team received MOST project plan. They announced at the kick off meeting and symposium their use of artificial intelligence to predict the aging model and their answer to combat hyper-aging society.

 

How does technology improve or "make smarter" the way medical treatment is carried out? Director Chen, Liang-Kung of NYMU's Aging and Health Research Center received a MOST (Ministry of Science and Technology) grant for his research team. The researchers are developing an artificial-intelligence system using big-data computation that will accurately predict future aging models.

 

On March 10, the "Using Artificial Intelligence to construct an hyper-age society and healthy lifestyle: from hyper-age medical treatment plan to lifestyle care management" kick-off meeting and symposium, was inaugurated by Director Chen, Liang-Kung, of the Aging and Health Research Center, Prof. Tsai, Ting-Fen, and Prof. Lin, Chao-Hsiung, both of the Department of Life Sciences and Institute of Genome Sciences, Professor Po, Lin-Ching, of the Institute of Neuroscience, Hsiao, Fei-Yuan, Assistant Professor of the Graduate Institute of Clinical Pharmacy at National Taiwan University, and Dr. Chen, Guo-Nan, (陳國男) of Acer Advanced Tech BU. These distinguished individuals discussed the "very popular" subject of artificial intelligence.

 

During President Kuo speech, he emphasized that Taiwan is slowly turning into a hyper aging society and that we need to spent much greater resources on developing approaches to this problem and that NYMU's Aging and Health Research Center is tackling this problem. He hoped that research on aging can become one of NYMU's most important research fields.

 

     

  President Kuo (left) remarked that aging and health research can become one of NYMU's most important field. Director Chen (right) of Aging and Health Research Center describes how his team will use artificial intelligence to model Taiwan’s future hyper-aged society's lifestyle.

 

Director Chen believes that traditional doctors show limited potential in epidemiology because they lack clinical statistics training; nevertheless, artificial intelligence has the ability to process millions and millions of variables by big data analysis. In the the field of Medical Imaging, AI is able to directly analyze the images of scans and compare the results with the past data.

 

How much benefit will AI bring to medicine? Director Chen said: “Currently, doctors are never able to make a 100% accurate diagnosis and in the past doctors have only been able to use statistical data in order to categorize patients. With the help of AI, doctors will not only be able to identify the biomarkers of specific diseases, but also pinpoint the specific characteristics of that particular disease and the effect that genetics will have on that disease and the individual.

 

Dr. Chen explained, AI may categorize cats and airplanes into the same group, which seem completely irrational to the human mind, but such unusual classifications may help to find new connections.

 

     

  Professor Tsai (left) explaining the relationship between life and biomarkers. Dr Chen of Acer (right) explaining the applications of AI in the medical field.

 

Although AI has the advantage of processing big data, but the research team (Professor Tsai, Professor Lin, Chao-Hsiung, Professor Lin, Ching Po, and Associate Professor Hsiao) said the key to using AI in the medical field is the size of the database. Larger and more complex databases allow AI to undergo deeper and deeper learning.

 

Regarding the current trend of wearable devices, Director Chen called for greater cooperation between technology and medicine in that there should be better implementation with respect to clinical testing, disease prediction, and the interaction between medicine and technology.

 

AI is able to identify accurate medical treatments, assist with diagnosis, help with drug development, aid medical imaging and help develop health care management. The research team will work closely with Acer, with the central topic being aging, in order to develop age-related lifestyle markers and biomarkers, to create a MRi imaging data base for an aging population and to develop a platform that will help with the aging of the brain and with chronic disease management. These approaches will help bring about quality medical care for aged individuals and allow the creation of aging models for Taiwan and elsewhere in the future.

 

With the aid of AI, the research team will integrate biology, geriatrics, brain science, public health, epidemiology, economics and informatics in order to innovate better monitoring and better management for Taiwan's hyper-aged society.

 

 

 

 


 

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