The symptoms and side effects of Covid-19 are scattered across a diagnostic spectrum. Some patients are asymptomatic or experience a mild immune response, while others report significant long-term illnesses, lasting complications, or suffer fatal outcomes.
Metformin is a widely prescribed blood sugar-lowering drug. It is often used as an early therapy (in combination with diet and lifestyle changes) for type 2 diabetes, which afflicts more than 34 million Americans.
Watching what was happening around the world in early 2020, University of California San Diego School of Medicine researchers knew their region would likely soon be hit with a wave of patients with COVID-19, the infection caused by the coronavirus SARS-CoV-2. They wondered how the virus persists on surfaces, particularly in hospitals, and they knew they had only a small window of time to get started if they wanted to capture a snapshot of the “before” situation — before patients with the infection were admitted.
Researchers at University of California San Diego School of Medicine used an artificial intelligence (AI) algorithm to sift through terabytes of gene expression data — which genes are “on” or “off” during infection — to look for shared patterns in patients with past pandemic viral infections, including SARS, MERS and swine flu.
A study by Sheffield and Oxford researchers using a cutting-edge method of imaging has identified persistent damage to the lungs of COVID-19 patients at least three months after they were discharged from hospital, and for some patients even longer.
Within the next decade, the novel coronavirus responsible for COVID-19 could become little more than a nuisance, causing no more than common cold-like coughs and sniffles. That possible future is predicted by mathematical models that incorporate lessons learned from the current pandemic on how our body’s immunity changes over time. Scientists at the University of Utah carried out the research, now published in the journal Viruses.
Kindergartners from low-income families spent more than six hours a day in front of screens during two early months of the COVID-19 pandemic, a small Ohio study suggests.
That is nearly double the screen time found before the pandemic in similar children, according to other research.
Researchers at University of California San Diego School of Medicine have discovered one way in which SARS-CoV-2, the coronavirus that causes COVID-19, hijacks human cell machinery to blunt the immune response, allowing it to establish infection, replicate and cause disease.
In a letter to The New England Journal of Medicine , published online March 23, 2021, a group of investigators from University of California San Diego School of Medicine and the David Geffen School of Medicine at UCLA report COVID-19 infection rates for a cohort of health care workers previously vaccinated for the novel coronavirus.
World health experts have long suspected that the incidence of COVID-19 has been higher than reported. Now, a machine-learning algorithm developed at UT Southwestern estimates that the number of COVID-19 cases in the U.S. since the pandemic began is nearly three times that of confirmed cases.