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Analyzing electronic medical records to identify COVID-19 sequelae

In a recent study published in the journal Emerging Infectious Diseases, researchers analyzed and compared pre‒ and post‒COVID-19 diagnostic codes to identify symptoms that had higher encounter incidence in the post‒COVID-19 period as sequelae. COVID-19 sequelae and future emerging diseases can be generated and monitored using this method. ....

United States , Emerging Infectious Diseases , Longitudinal Analysis , Electronic Health Information , Identify Possible , Image Credit , Coronavirus Disease Covid 19 , Electronic Medical Records , Infectious Diseases , Kidney Failure , Renal Disease , Ars Cov 2 , Venous Thromboembolism ,

New Way to Identify Correlated Topological Materials

A unique design principle speculates the features of previously unknown quantum materials. For the first time, with the help of a computer, a strongly correlated topological semimetal has been identified. ....

Rice University , United States , Quimiao Si , Qimiao Si , Mila Perera , Institute Of Solid State Physics , Vienna University Of Technology , Rice University Texas , Tommy Lavergne Rice University , Image Credit , Nature Physics , Solid State Physics , Vienna University , Identify Possible ,

How automation and lean manufacturing go together

How automation and lean manufacturing go together
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