GAVNet Collaborative Curation

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in thousands of deaths in the world. Information about prediction model of prognosis of SARS-CoV-2 infection is scarce. We used machine learning for processing laboratory findings of 110 patients with SARS-CoV-2 pneumonia (including 51 non-survivors and 59 discharged patients). The maximum relevance minimum redundancy (mRMR) algorithm and the least absolute shrinkage and selection operator logistic regression model were used for selection of laboratory features. Seven laboratory features selected in the model were: prothrombin activity, urea, white blood cell, interleukin-2 receptor, indirect bilirubin, myoglobin, and fibrinogen degradation products. The signature constructed using the seven features had 98% [93%, 100%] sensitivity and 91% [84%, 99%] specificity in predicting outcome of SARS-CoV-2 pneumonia. Thus it is feasible to establish an accurate prediction model of outcome of SARS-CoV-2 pneumonia based on laboratory findings.

Research from the University of Notre Dame estimates that more than 100,000 people were already infected with COVID-19 by early March-when only 1,514 cases and 39 deaths had been officially reported and before a national emergency was declared. The study provides insight into how limited testing and gaps in surveillance during the initial phase of the epidemic resulted in so many cases going undetected. The study was published in the Proceedings of the National Academy of Sciences.

team led by researchers at the University of Virginia cautions that when it comes to climate change, the world is making a bet it might not be able to cover.

More than one million abbreviations have been used in biomedical papers since 1950 - but just a fraction appear regularly.

"Managing plastics has become a grand and complex environmental challenge, and plastic packaging clearly warrants current efforts on reductions and coordinated material recovery and recycling," said Gregory Keoleian, senior author of a paper published Aug. 25 in the journal Environmental Research Letters.

Something as simple as black paint could be the key to reducing the number of birds that are killed each year by wind turbines. According to a study conducted at a wind farm on the Norwegian archipelago of Smøla, changing the color of a single blade on a turbine from white to black resulted in a 70-percent drop in the number of bird deaths.