Page 145 - ஸ்டான்போர்ட் பல்கலைக்கழகம் பள்ளி News Today : Breaking News, Live Updates & Top Stories | Vimarsana
专访谷爱凌: 我愿成为一座桥梁 -中工体育-中工网
workercn.cn - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from workercn.cn Daily Mail and Mail on Sunday newspapers.
专访谷爱凌: 我愿成为一座桥梁 -中新网
chinanews.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from chinanews.com Daily Mail and Mail on Sunday newspapers.
HIV and COVID-19: What Do We Know Now? Advertisement
HIV and COVID-19: What Do We Know Now?
Larger studies suggest people living with HIV might have a modestly higher risk of severe COVID-19, but much remains to be learned. Advertisement
In the early days of the pandemic, POZ published a roundup of What People With HIV Need to Know About the New Coronavirus. Many HIV-positive people were concerned about their risk because immune suppression is linked to more severe COVID-19. What’s more, nearly half of people living with HIV are over 50 and many have underlying health conditions associated with worse COVID-19 outcomes.
Share this article
Share this article
SEATTLE, Jan. 29, 2021 /PRNewswire/ A paper was published today by Dr. Steven Quay, M.D., PhD., CEO of Atossa Therapeutics, Inc. (NASDAQ: ATOS), entitled, A Bayesian analysis concludes beyond a reasonable doubt that SARS-CoV-2 is not a natural zoonosis but instead is laboratory derived. The 193-page paper can be downloaded from Zenodo, a general-purpose open-access repository operated by CERN, here: https://zenodo.org/record/4477081# . A short explainer video about the paper is here: https://zenodo.org/record/4477212#.
Dr. Quay Bayesian Analysis Introduction
The purpose of the analysis was to determine the origin of SARS-CoV-2, the virus that causes COVID-19. Beginning with a likelihood of 98.2% that it was a zoonotic jump from nature with only a 1.2% probability it was a laboratory escape, twenty-six different, independent facts and evidence were examined systematically. The final conclusion is that it is a 99.8% probability SARS-
By Rory O Neill
Your smartphone can probably tell when you ve had too much to drink.
A new study finds the phones are capable of detecting inebriation based on changes to a person s walk.
Having real-time information about alcohol intoxication could be important for helping people reduce alcohol consumption, preventing drinking and driving or alerting a sponsor for someone in treatment, according to lead researcher Brian Suffoletto, M.D., who was with the University of Pittsburgh School of Medicine when the research was conducted and is now with Stanford University School of Medicine’s Department of Emergency Medicine.
About 90 percent of the time, researchers were able to measure changes in gait of test subjects who consumed enough alcohol to consider them intoxicated.
vimarsana © 2020. All Rights Reserved.