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Geisinger researchers find AI can predict death risk

Researchers at Geisinger have found that a computer algorithm developed using echocardiogram videos of the heart can predict mortality within a year.
The algorithm an example of what is known as machine learning, or artificial intelligence (AI) outperformed other clinically used predictors, including pooled cohort equations and the Seattle Heart Failure score. ....

United States , Chris Haggerty , Alvaro Ulloa Cerna , Geisinger Health Plan , Department Of Translational Data Science , Pennsylvania Department Of Health , Seattle Heart Failure , Nature Biomedical , Translational Data Science , Pennsylvania Department , Biomedical Environmental Chemical Engineering , Algorithms Models , Medicine Health , Death Dying , Mortality Longevity , Robotry Artificial Intelligence , ஒன்றுபட்டது மாநிலங்களில் , கிறிஸ் க்கேர்த்தி , அல்வாரோ யூலோவ சிஇஆர்என்ஏ , கேய்சிங்கேர் ஆரோக்கியம் திட்டம் , துறை ஆஃப் மொழிபெயர்ப்பு தகவல்கள் அறிவியல் , பென்சில்வேனியா துறை ஆஃப் ஆரோக்கியம் , சீட்டில் இதயம் தோல்வி , இயற்கை உயிர் மருத்துவ , மொழிபெயர்ப்பு தகவல்கள் அறிவியல் , பென்சில்வேனியா துறை ,

Viral ExoN regulates the rate of recombination in SARS-CoV-2


Viral ExoN regulates the rate of recombination in SARS-CoV-2
Researchers at Vanderbilt University Medical Center (VUMC) and the University of Texas Medical Branch (UTMB) at Galveston have discovered what may be the Achilles heel of the coronavirus, a finding that may help close the door on COVID-19 and possibly head off future pandemics.
The coronavirus is an RNA virus that has, in its enzymatic toolkit, a proofreading exoribonuclease, called nsp14-ExoN, which can correct errors in the RNA sequence that occur during replication, when copies of the virus are generated.
Using cutting-edge technologies and novel bioinformatics approaches, the researchers discovered that this ExoN also regulates the rate of recombination, the ability of the coronavirus to shuffle parts of its genome and even pull in genetic material from other viral strains while it replicates in order to gain evolutionary advantage. ....

Mark Denison , James Chappell , Andrea Pruijssers , Maria Agostini , Jennifer Gribble , Emily Henderson , Xiaotao Lu , Edward Claiborne Stahlman , Laura Stevens , Andrew Routh , Vanderbilt University Medical Center , Researchers At Vanderbilt University Medical Center , Study Co , Vanderbilt University School Of Medicine , University Of Texas Medical Branch , Division Of Pediatric Infectious Diseases , Texas Medical Branch , Middle Eastern , Molecular Biology , Pediatric Infectious Diseases , Jordan Anderson Daniels , Edward Claiborne Stahlman Chair , Pediatric Physiology , Cell Metabolism , Vanderbilt University School , Study Co Corresponding Author ,