SpringVelocity
Crew Member
But scientifically speaking masks are beneficial to limiting spread of virus not stopping it. If we can limit the spread or viral load to other people why is this even a discussion?
Totally agree. I only mask up when I’m in a confined space and can’t social distanceSorry, I mask whenever it may be difficult to be physically distant.
I do not mask to walk my dog at 05:00.
I would say only because some people will never agree, and some people will fight anything mandatory no matter what it is, so there's a balance that needs to be struck between maximizing the benefits without stirring up opposition, no matter how irrational it might seem.But scientifically speaking masks are beneficial to limiting spread of virus not stopping it. If we can limit the spread or viral load to other people why is this even a discussion?
And that is all we are being asked to do. Not hard. Dr Bonnie said again today she believes mandatory mask orders can potentially have a negative outcome.Totally agree. I only mask up when I’m in a confined space and can’t social distance
DittoSorry, I mask whenever it may be difficult to be physically distant.
I do not mask to walk my dog at 05:00.
Wow, I never saw this coming.
Artificial intelligence model detects asymptomatic Covid-19 infections through cellphone-recorded coughs
Results might provide a convenient screening tool for people who may not suspect they are infected.
Asymptomatic people who are infected with Covid-19 exhibit, by definition, no discernible physical symptoms of the disease. They are thus less likely to seek out testing for the virus, and could unknowingly spread the infection to others.
But it seems those who are asymptomatic may not be entirely free of changes wrought by the virus. MIT researchers have now found that people who are asymptomatic may differ from healthy individuals in the way that they cough. These differences are not decipherable to the human ear. But it turns out that they can be picked up by artificial intelligence.
In a paper published recently in the IEEE Journal of Engineering in Medicine and Biology, the team reports on an AI model that distinguishes asymptomatic people from healthy individuals through forced-cough recordings, which people voluntarily submitted through web browsers and devices such as cellphones and laptops.
The researchers trained the model on tens of thousands of samples of coughs, as well as spoken words. When they fed the model new cough recordings, it accurately identified 98.5 percent of coughs from people who were confirmed to have Covid-19, including 100 percent of coughs from asymptomatics — who reported they did not have symptoms but had tested positive for the virus.
The team is working on incorporating the model into a user-friendly app, which if FDA-approved and adopted on a large scale could potentially be a free, convenient, noninvasive prescreening tool to identify people who are likely to be asymptomatic for Covid-19. A user could log in daily, cough into their phone, and instantly get information on whether they might be infected and therefore should confirm with a formal test.
More:
https://news.mit.edu/2020/covid-19-cough-cellphone-detection-1029