Anasse bari - Latest News Update, Information, Photos & Videos on Anasse bari at Lokmat Times

New York, March 30 An Artificial Intelligence (AI) tool has accurately predicted which patients, newly infected with the COVID-19 virus, would go on to develop severe respiratory disease.Published in the journal Computers, Materials & Continua, the study also revealed the best indicators of future severity, and found that they were not as expected."Our goal was to design and deploy a decision-support tool using AI capabilities - mostly predictive analytics - to flag future clinical coronavirus severity," said co-author Anasse Bari, a clinical assistant professor in Computer Science at the Courant Institute of Mathematical Sciences at New York University.For the study, demographic, laboratory, and radiological findings were collected from 53 patients as each tested positive in January for the SARS-CoV2 virus at the two Chinese hospitals.Symptoms were typically mild to begin with, including cough, fever and stomach upset.In a minority of patients, however, severe symptoms developed with a week, including pneumonia.For the new study, the researchers designed computer models that make decisions based on the data fed into them, with programmes getting "smarter" the more data they consider.The researchers were surprised to find that characteristics considered to be hallmarks of COVID-19, like certain patterns seen in lung images, fever, and strong immune responses, were not useful in predicting which of the many patients with initial, mild symptoms would go to develop severe lung disease.Neither were age and gender helpful in predicting serious disease, although past studies had found men over 60 to be at higher risk.Instead, the new AI tool found that changes in three features - levels of the liver enzyme alanine aminotransferase (ALT), reported myalgia, and haemoglobin levels - were most accurately predictive of subsequent, severe disease.Together with other factors, the team reported being able to predict risk of Acute Respiratory Distress Syndrome or ARDS with up to 80 per cent accuracy."We hope that the tool, when fully developed, will be useful to physic as they assess which moderately ill patients really need beds, and who can safely go home, with hospital resources stretched thin," Bari added.( With inputs from IANS )

Home

City

Latest News

Cricket

LT Premium

National

International

Maharashtra

Opinions

Chhatrapati Sambhajinagar

Nagpur

Entertainment

Photos

Business

Technology

Sports

Lifestyle

Social Viral

Lokmat Games

Health

Pahalgam Terror Attack

Tahawwur Rana

IPL 2025

CM Devendra Fadnavis

Mumbai Local

Weather Update

Anasse Bari, NewsFOLLOW

Anasse bari, Latest News

Aurangabad :World Environment Day celebrated in Azad College

Chhatrapati Sambhajinagar: Maulana Azad College of Arts Science and Commerce celebrated World Environment Day on Monday. Dr Kishor Pathak ... ...

National :Himachal Pradesh CM dedicates development projects worth Rs 43.34 crore in Fatehpur

Kangra ( Himachal Pradesh) [India], May 31 : Himachal Pradesh Chief Minister Sukhvinder Singh Sukhu on Wednesday dedicated development ... ...

National :Police foil smuggling bid, seize drugs worth Rs 6 crore in North Tripura

North Tripura (Tripura) [India], May 6 : Three persons were arrested while entering Tripura at Churai Bari Gate for ... ...

Health :AI tool predicts which COVID-19 patients develop respiratory disease

An Artificial Intelligence (AI) tool has accurately predicted which patients, newly infected with the COVID-19 virus, would go on to develop severe respiratory disease. ...