Virus World
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Virus World
Virus World provides a daily blog of the latest news in the Virology field and the COVID-19 pandemic. News on new antiviral drugs, vaccines, diagnostic tests, viral outbreaks, novel viruses and milestone discoveries are curated by expert virologists. Highlighted news include trending and most cited scientific articles in these fields with links to the original publications. Stay up-to-date with the most exciting discoveries in the virus world and the last therapies for COVID-19 without spending hours browsing news and scientific publications. Additional comments by experts on the topics are available in Linkedin (https://www.linkedin.com/in/juanlama/detail/recent-activity/)
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Alibaba Says AI Can identify Coronavirus Infections with 96% Accuracy

Alibaba Says AI Can identify Coronavirus Infections with 96% Accuracy | Virus World | Scoop.it

A new AI-powered diagnosis system promises to detect new coronavirus cases with an accuracy rate of up to 96% via computerized tomographyscans, Chinese tech outlet Sina Tech News reported. 

 

The diagnosis algorithm was developed by Alibaba's research institute Damo Academy. Researchers at the academy said they had trained the AI model with sample data from more than 5,000 confirmed cases, adding that the system could identify differences in CT scans between patients infected with the novel virus and those with ordinary viral pneumonia with an accuracy of up to 96%. The algorithm included the latest treatment guidelines and recently published research, said its creators. The new diagnostic tool was first introduced in the new Qiboshan Hospital in Zhengzhou, Henan province, which was modeled on Beijing's Xiaotangshan Hospital, completed in 2003 to deal with the SARS crisis. The new hospital started accepting patients infected with coronavirus on Sunday.

 

The system would also be adopted in more than 100 hospitals in the provinces of Hubei, Guangdong and Anhui, said Alibaba. The new algorithm could alleviate pressure on hospitals, as it can complete the recognition process within 20 seconds, according to Alibaba. Usually, it will take a doctor between five and 15 minutes to analyze a CT scan of one suspected patient and give a clinical diagnosis, with scans sometimes including more than 300 images.

 

The Chinese National Health Commission on Feb. 5 widened the criteria for the diagnosis of new infections, adding CT scan results on top of the previous nucleic acid test method, to ensure patients with clinical symptoms will receive standard treatment as soon as possible. This new diagnosis system is not Alibaba's first attempt to use AI to combat coronavirus. Researchers from Damo Academy have developed an AI-powered public health service tool that provides information related to the SARS-CoV-2 coronavirus, which was first deployed by the government of Zhejiang province on Jan. 27. The system can answer most inquiries regarding the pandemic via an app.

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SARS-CoV-2 Viral Load in Nasal Swabs Peaks Earlier Than Thought

SARS-CoV-2 Viral Load in Nasal Swabs Peaks Earlier Than Thought | Virus World | Scoop.it

From January 7 through January 26, 2020, a total of 14 patients who had recently returned from Wuhan and had fever (≥37.3°C) received a diagnosis of Covid-19 (the illness caused by SARS-CoV-2) by means of reverse-transcriptase–polymerase-chain-reaction assay with primers and probes targeting the N and Orf1b genes of SARS-CoV-2; the assay was developed by the Chinese Center for Disease Control and Prevention. Samples were tested at the Guangdong Provincial Center for Disease Control and Prevention. Thirteen of 14 patients with imported cases had evidence of pneumonia on computed tomography (CT). None of them had visited the Huanan Seafood Wholesale Market in Wuhan within 14 days before symptom onset. Patients E, I, and P required admission to intensive care units, whereas the others had mild-to-moderate illness. Secondary infections were detected in close contacts of Patients E, I, and P. Patient E worked in Wuhan and visited his wife (Patient L), mother (Patient D), and a friend (Patient Z) in Zhuhai on January 17. Symptoms developed in Patients L and D on January 20 and January 22, respectively, with viral RNA detected in their nasal and throat swabs soon after symptom onset. Patient Z reported no clinical symptoms, but his nasal swabs (cycle threshold [Ct] values, 22 to 28) and throat swabs (Ct values, 30 to 32) tested positive on days 7, 10, and 11 after contact. A CT scan of Patient Z that was obtained on February 6 was unremarkable. Patients I and P lived in Wuhan and visited their daughter (Patient H) in Zhuhai on January 11 when their symptoms first developed. Fever developed in Patient H on January 17, with viral RNA detected in nasal and throat swabs on day 1 after symptom onset....

 

We analyzed the viral load in nasal and throat swabs obtained from the 17 symptomatic patients in relation to day of onset of any symptoms (Figure 1C). Higher viral loads (inversely related to Ct value) were detected soon after symptom onset, with higher viral loads detected in the nose than in the throat. Our analysis suggests that the viral nucleic acid shedding pattern of patients infected with SARS-CoV-2 resembles that of patients with influenza4 and appears different from that seen in patients infected with SARS-CoV.3 The viral load that was detected in the asymptomatic patient was similar to that in the symptomatic patients, which suggests the transmission potential of asymptomatic or minimally symptomatic patients. These findings are in concordance with reports that transmission may occur early in the course of infection5 and suggest that case detection and isolation may require strategies different from those required for the control of SARS-CoV. How SARS-CoV-2 viral load correlates with culturable virus needs to be determined. Identification of patients with few or no symptoms and with modest levels of detectable viral RNA in the oropharynx for at least 5 days suggests that we need better data to determine transmission dynamics and inform our screening practices.

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