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Analyzing electronic medical records to identify COVID-19 sequelae - Vimarsana News

Analyzing electronic medical records to identify COVID-19 sequelae

Published: January 4, 2023

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.

Source: news-medical.net
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United StatesEmerging Infectious DiseasesLongitudinal AnalysisElectronic Health InformationIdentify PossibleImage CreditCoronavirus Disease Covid 19Electronic Medical RecordsInfectious DiseasesKidney FailureRenal DiseaseArs Cov 2Venous Thromboembolism
New Way to Identify Correlated Topological Materials - Vimarsana News

New Way to Identify Correlated Topological Materials

Published: September 21, 2022

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.

Source: azom.com
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Rice UniversityUnited StatesQuimiao SiQimiao SiMila PereraInstitute Of Solid State PhysicsVienna University Of TechnologyRice University TexasTommy Lavergne Rice UniversityImage CreditNature PhysicsSolid State PhysicsVienna UniversityIdentify Possible