Updated on February 24, 2021 at 5:05 pm
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The novel coronavirus has changed lives, economies and health care systems as we know it.
On March 11, 2020, the World Health Organization classified COVID-19 as a pandemic. The respiratory virus that originated in China has since infected tens of millions of people worldwide, and killed more than 2 million. Get the answer to your most-asked COVID vaccine questions on our mobile NBC 5 Chicago app. Download it here for iOS or Android.
Since the WHO s classification, the United States and other countries have taken drastic steps to attempt to slow the spread of the virus. From sheltering in place to travel restrictions to full border closures, the global pandemic has affected nearly every aspect of daily life.
1 in 5 hospitalised Covid-19 patients with diabetes die in 28 days: Study
February 19, 2021
× Findings of a new study suggest that one in five Covid-19 patients with diabetes as a co-morbidity likely dies after getting infected.
The French CORONADO study, published in the government journal Clinical Trials, had begun during the first wave of the pandemic in early 2020.
The study’s preliminary investigation had found that 10.6 per cent of patients with type 2 diabetes and Covid-19 and 5.6 per cent of those with type 1 diabetes and Covid-19 died within a week after hospitalisation.
The researchers carried out further investigation, which was published in the journal Diabetologia, by involving 2796 Covid-19 patients with diabetes who were hospitalised at 68 institutions across France between March 10 and April 10, 2020, and followed for 28 days.
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Chinese researchers speculate that a more virulent version of SARS-CoV-2 may emerge if the recent one blends with other coronaviruses, China-based Global Times reported.Recently, London-based New Scie
IISC-Bengaluru researchers develop software tool to diagnose Covid-19 severity in lungs
February 19, 2021
× Researchers at the Indian Institute of Science (IISc) designed a special tool called ‘AnamNet’ to diagnose the severity of coronavirus infection in patients’ lungs.
The study was carried out by researchers from the Departments of Computational and Data Science (CDS) and Instrumentation and Applied Physics at IISc. They conducted the study in collaboration with colleagues from the Oslo University Hospital and the University of Agder in Norway.
The study was published in the journal IEEE Transactions on Neural Networks and Learning Systems.
To develop this software tool, the researchers employed a unique neural network and deep learning, and other image processing techniques. Their tool finds specific abnormal features and estimates the damage in the lungs and identifies infected areas in a chest CT scan with a high level of accuracy.