Researchers develop an App determines COVID-19 disease sever
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Researchers at the New York University (NYU) College of Dentistry have developed an app that helps clinicians identify infected patients most at risk of developing a severe case of COVID-19.

• The app uses artificial intelligence (AI) to assess risk factors, such as age and sex, and blood test biomarkers to predict disease severity.

• Using data from 160 hospitalized COVID-19 patients in Wuhan, China, the researchers identified four biomarkers -- C-reactive protein (CRP), myoglobin (MYO), procalcitonin (PCT), and cardiac troponin I (cTnI) -- that were significantly elevated in patients who died from the condition.

• The biomarkers can signal complications such as acute inflammation, lower respiratory tract infection, and poor cardiovascular health, according to the college.

• After building a model with the biomarkers and risk factors, the researchers trained it using a machine-learning algorithm to define the patterns of COVID-19 and give a patient a severity score.

• It produces a score between 0 (mild or moderate) and 100 (critical) after biomarkers and risk factors are entered.

• To make the tool convenient for clinicians, they developed a mobile app that can be used at the point of care. It has been evaluated at the Family Health Centers at NYU Langone in Brooklyn.

Source: https://www.sciencedaily.com/releases/2020/06/200603132529.htm
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