Saudi Arabia hopes to build ties to Hollywood by investing in Beverly Hills-based Live Nation, which the coronavirus has brought to its knees.
Category: biotech/medical – Page 1,923
In November of 2019—likely, even earlier—a tiny entity measuring just a few hundred billionths of a meter in diameter began to tear apart human society on a global scale. Within a few months, the relentless voyager known as SARS-CoV-2 had made its way to every populated corner of the earth, leaving scientists and health authorities with too many questions and few answers.
Today, researchers are scrambling to understand where and how the novel coronavirus arose, what features account for the puzzling constellation of symptoms it can cause and how the wildfire of transmission may be brought under control. An important part of this quest will involve efforts to properly classify this emergent human pathogen and to understand how it relates to other viruses we may know more about.
In a consensus statement, Arvind Varsani, a molecular virologist with ASU’s Biodesign Center for Fundamental and Applied Microbiomics and a host of international collaborators propose a new classification system, capable of situating coronaviruses like SARS-CoV-2 within the enormous web of viruses across the planet, known as the virosphere.
Central to a lot of scientific research into aging are tiny caps on the ends of our chromosomes called telomeres. These protective sequences of DNA grow a little shorter each time a cell divides, but by intervening in this process, researchers hope to one day regulate the process of aging and the ill health effects it can bring. A Harvard team is now offering an exciting pathway forward, discovering a set of small molecules capable of restoring telomere length in mice.
Telomeres can be thought of like the plastic tips on the end of our shoelaces, preventing the fraying of the DNA code of the genome and playing an important part in a healthy aging process. But each time a cell divides, they grow a little shorter. This sequence repeats over and over until the cell can no longer divide and dies.
This process is linked to aging and disease, including a rare genetic disease called dyskeratosis congenita (DC). This is caused by the premature aging of cells and is where the team focused its attention, hoping to offer alternatives to the current treatment that involves high-risk bone marrow transplants and which offers limited benefits.
Depending on who you ask and where you are, wearing a mask can be an important part of the strategy to stop the spread of SARS-CoV-2.
With the CDC recommending surgical and N95 masks should be kept for medical personnel on the front line, if you do want or need a mask, you should be purchasing or making a cloth one.
But when looking at cloth masks, which materials work best for keeping your germs in and other people’s germs out?
Around the world, scientists race to develop a vaccine or treatment against the coronavirus disease (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Now, a team of researchers has found that a drug already available around the world can kill the coronavirus in a lab setting in just 48 hours.
Novel Coronavirus SARS-CoV-2 Colorized scanning electron micrograph of an apoptotic cell (green) heavily infected with SARS-COV-2 virus particles (yellow), isolated from a patient sample. Image captured at the NIAID Integrated Research Facility (IRF) in Fort Detrick, Maryland. Credit: NIAID.
During the 1918 flu, San Francisco lifted its lockdown early — and paid a dire price.
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In US news and current events today, the coronavirus pandemic, the COVID-19 outbreak has had people around the world in lockdown. People in the United States and the world at large have had to quarantine and practice social distancing and self-isolation when necessary.
Some states, like Georgia, are beginning to reopen businesses, but history has shown us that lifting a lockdown too early can have dire consequences. Here’s how San Francisco’s early lifting of regulations during the 1918 flu, a strain of H1N1 virus also referred to as the Spanish flu, nearly doubled the death toll of the city.
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Built in about 24 hours, this robot is undergoing in-hospital testing for coronavirus disinfection.
UV disinfection is one of the few areas where autonomous robots can be immediately and uniquely helpful during the COVID pandemic. Unfortunately, there aren’t enough of these robots to fulfill demand right now, and although companies are working hard to build them, it takes a substantial amount of time to develop the hardware, software, operational knowledge, and integration experience required to make a robotic disinfection system work in a hospital.
Conor McGinn, an assistant professor of mechanical engineering at Trinity College in Dublin and co-leader of the Robotics and Innovation Lab (RAIL), has pulled together a small team of hardware and software engineers who’ve managed to get a UV disinfection robot into hospital testing within a matter of just a few weeks. They made it happen in such a short amount of time by building on previous research, collaborating with hospitals directly, and leveraging a development platform: the TurtleBot 2.
Over the last few years, RAIL has been researching mobile social robots for elder care applications, and during their pilot testing, they came to understand how big of a problem infection can be in environments like nursing homes. This was well before COVID-19, but it was (and still is) one of the leading causes of hospitalization for nursing home residents. Most places just wipe down surfaces with disinfectant sometimes, but these facilities have many surfaces (like fabrics) that aren’t as easy to clean, and with people coming in and out all the time, anyone with a compromised immune system is always at risk.
Software bugs have been a concern for programmers for nearly 75 years since the day programmer Grace Murray Hopper reported the cause of an error in an early Harvard Mark II computer: a moth stuck between relay contacts. Thus the term “bug” was born.
Bugs range from slight computer hiccups to catastrophes. In the Eighties, at least five patients died after a Therac-25 radiation therapy device malfunctioned due to an error by an inexperienced programmer. In 1962, NASA mission control destroyed the Mariner I space probe as it diverted from its intended path over the Atlantic Ocean; incorrectly transcribed handwritten code was blamed. In 1982, a software bug later alleged to have been implanted into the Soviet trans-Siberian gas pipeline by the CIA triggered one of the largest non–nuclear explosions in history.
According to data management firm Coralogix, programmers produce 70 bugs per 1,000 lines of code, with each bug solution demanding 30 times more hours than it took to write the code in the first place. The firm estimates the United States spends $113 billion a year identifying and remediating bugs.
The recent infective outbreak caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), now officially defined as coronavirus disease 2019 (COVID-19), has already affected over 1million people from nearly all countries worldwide, causing approximately 66,000 deaths. 1 The clinical characteristics of this pandemic disease may be complicated by the onset of a severe form of intestinal pneumonia in 10–15% of infected patients, which may then progress toward acute respiratory distress syndrome (ARDS) and eventually in multi-organ failure (MOF) and death. 2 Since laboratory hematology is a mainstay for screening, diagnosis, but also for prognostication and therapeutic monitoring of a kaleidoscope of human disorders, 3 the aim of this article was to investigate whether or not hemoglobin values may be a predictive factor of worse clinical progression in patients with COVID-19.
We performed an electronic search in Medline, Web of Science and Scopus, using the keywords “laboratory” OR “hemoglobin” AND “coronavirus 2019” OR “2019-nCoV” OR “SARS-CoV-2”, between 2019 and the present time (i.e., March 4, 2020), with no language restriction. The title, abstract and full text of documents identified according to these search criteria were analyzed and those reporting information on the hemoglobin values in COVID-19 patients with or without severe disease (i.e., those needing mechanical ventilation, intensive care unit (ICU) admission or those who died), were meta-analyzed. The reference list of all documents was examined to identify additional eligible studies. The final meta-analysis entailed the estimation of the weighted mean difference (WMD) and 95% confidence interval (95% CI) of hemoglobin values between subjects with or without severe disease. The statistical analysis was performed with the MetaXL software, Version 5.3 (EpiGear International Pty Ltd.
The movie Avatar evoked an imaginary world of lush bioluminescent jungles. Now the popular fascination for sustainably glowing foliage is being realized through advances in designer genetics. This week in Nature Biotechnology, scientists have announced the feasibility of creating plants that produce their own visible luminescence.
The scientists revealed that bioluminescence found in some mushrooms is metabolically similar to the natural processes common among plants. By inserting DNA obtained from the mushroom, the scientists were able to create plants that glow much brighter than previously possible.
This biological light can be used by scientists for observing the inner workings of plants. In contrast to other commonly used forms of bioluminescence, such as from fireflies, unique chemical reagents are not necessary for sustaining mushroom bioluminescence. Plants containing the mushroom DNA glow continuously throughout their lifecycle, from seedling to maturity.