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PolyU collaborates with Macau University of Science and Technology to advance diagnosis of Covid-19 pneumonia

PolyU Collaborates With Macau University Of Science And Technology To Advance Diagnosis Of COVID-19 Pneumonia

The tale AI-helped diagnostic system, in light of computed tomography (CT) chest imaging, can effectively recognize COVID-19 pneumonia from other viral pneumonia, and foresee the seriousness level in 20 seconds, with an exactness of up to 90% or above. It helps radiologists and doctors in playing out a snappy finding, particularly when the wellbeing system is over-burden.

As per Professor Kang ZHANG of the Faculty of Medicine of M.U.S.T. the first creator of the research paper, the research team utilized a huge CT database of 3,777 patients to prepare and test the AI system to separate novel coronavirus pneumonia (NCP) from other basic pneumonia and typical controls. This system can give precise clinical prognosis that can help clinicians when considering suitable early clinical administration and fitting resource assignment. It has been developed to help worldwide clinicians in fighting COVID-19.

Dr Johnson LAU, Adjunct Professor of the Department of Applied Biology and Chemical Technology of PolyU, clarified that the AI team utilizes deep learning, semantic segmentation and multiple neural network architectures to make a precise AI diagnostic system comprising surface examination, quantitative measurements and finding classification. In light of the universal standard for related research on lung lesions, lung, liver harm and applicable clinical markers, they have additionally developed a comprehensive rating system to project the emergence of pneumonia serious lesions accurately for the subsequent treatment.

The scientists from PolyU and M.U.S.T. Have likewise collaborated on different projects, incorporating the seroconversion concentrate in SARS-CoV-2 (COVID-19) patients in China, which helped prepare for additional diagnostic and therapeutic advancement to treat SARS-CoV-2. The examination “Seroprevalence of immunoglobulin M and G antibodies against SARS-CoV-2 in China” was likewise recently published in another prestigious scientific journal Nature Medicine (connect).

Utilizing PolyU’s strengths and our collaborations with various research partners, we can add to the prosperity of humankind. During the outbreak, we have developed a rapid automated diagnostic system to detect COVID-19 and have conducted various scientific experiments identified with the pandemic, said Professor Alexander WAI, Deputy President and Provost of PolyU. Since the establishment of the biotechnology and translational medicine worldwide collaborative platform in 2018, PolyU has been working intimately with M.U.S.T. What is more, different partners from the United States and the Greater Bay Area for high-sway research. Our drawn-out cooperation has paved the route for us to react rapidly, and to utilize our skill to build up this new AI system for the finding and prognosis of COVID-19.

Teacher Manson FOK, Dean of the Faculty of Medicine of M.U.S.T., commented that this AI system had been implemented in numerous hospitals in various countries. M.U.S.T. Is collaborating with a few prominent universities including Baylor University, University of Buffalo and Stanford University to serve the US populations. He accepted this application could before long be adopted in Hong Kong, more areas of Mainland China and worldwide.

COVID-19 is a new and profoundly infectious virus with more than 7 million individuals infected (as of June 10). Researchers from PolyU and M.U.S.T. With their supportive partners will proceed with their efforts in COVID-19 research to utilize scientific technologies to battle this pandemic through prevention, finding, treatment and control.

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