The Federal Communications Commission has approved SpaceX’s application to roll out a million user terminals in the US to connect with its growing Starlink satellite broadband network.
The approval gives SpaceX a 15-year “blanket license for the operation of up to 1,000,000 fixed earth stations that will communicate with its non-geostationary orbit satellite system”.
Graphene-based biosensors could usher in an era of liquid biopsy, detecting DNA cancer markers circulating in a patient’s blood or serum. But current designs need a lot of DNA. In a new study, crumpling graphene makes it more than ten thousand times more sensitive to DNA by creating electrical “hot spots,” researchers at the University of Illinois at Urbana-Champaign found.
Crumpled graphene could be used in a wide array of biosensing applications for rapid diagnosis, the researchers said. They published their results in the journal Nature Communications.
“This sensor can detect ultra-low concentrations of molecules that are markers of disease, which is important for early diagnosis,” said study leader Rashid Bashir, a professor of bioengineering and the dean of the Grainger College of Engineering at Illinois. “It’s very sensitive, it’s low-cost, it’s easy to use, and it’s using graphene in a new way.”
Old human cells can become more youthful by coaxing them to briefly express proteins used to make induced pluripotent cells, Stanford researchers and their colleagues have found. The finding may have implications for aging research.
Old human cells return to a more youthful and vigorous state after being induced to briefly express a panel of proteins involved in embryonic development, according to a new study by researchers at the Stanford University School of Medicine.
The researchers also found that elderly mice regained youthful strength after their existing muscle stem cells were subjected to the rejuvenating protein treatment and transplanted back into their bodies.
The proteins, known as Yamanaka factors, are commonly used to transform adult cells into induced pluripotent stem cells, or iPS cells. Induced pluripotent stem cells can become nearly any type of cell in the body, regardless of the cell from which they originated. They’ve become important in regenerative medicine and drug discovery.
Right now the world is at war. But this is no ordinary war. It’s a fight with an organism so small we can only detect it through use of a microscope — and if we don’t stop it, it could kill millions of us in the next several decades. No, I’m not talking about COVID-19, though that organism is the one on everyone’s mind right now. I’m talking about antibiotic-resistant bacteria.
You see, more than 700,000 people died globally from bacterial infections last year — 35,000 of them in the U.S. If we do nothing, that number could grow to 10 million annually by 2050, according to a United Nations report.
The problem? Antibiotic overuse at the doctor’s office or in livestock and farming practices. We used a lot of drugs over time to kill off all the bad bacteria — but it only killed off most, not all, of the bad bacteria. And, as the famous line from Jeff Goldblum in Jurassic Park goes, “life finds a way.”
Enter Felix, a biotech startup in the latest Y Combinator batch that thinks it has a novel approach to keeping bacterial infections at bay – viruses.
COVID-Net could help scientists develop an AI tool that can pick up telltale signs.
The news: An open-access neural network called COVID-Net, released to the public this week, could help researchers around the world in a joint effort to develop an AI tool that can test people for Covid-19.
What is it? COVID-Net is a convolutional neural network, a type of AI that is particularly good at recognizing images. Developed by Linda Wang and Alexander Wong at the University of Waterloo and the AI firm DarwinAI in Canada, COVID-Net was trained to identify signs of Covid-19 in chest x-rays using 5,941 images taken from 2,839 patients with various lung conditions, including bacterial infections, non-Covid viral infections, and Covid-19. The data set is being provided alongside the tool so that researchers—or anyone who wants to tinker—can explore and tweak it.
D.C. gets an ‘A’ while Wyoming earns an ‘F’ for following coronavirus stay-at-home advice, based on the locations of tens of millions of phones
Location data firm Unacast identified places where residents are engaging in more social distancing in green — and less in orange.
If you have a smartphone, you’re probably contributing to a massive coronavirus surveillance system.
And it’s revealing where Americans have — and haven’t — been practicing social distancing.
On Tuesday, a company called Unacast that collects and analyzes phone GPS location data launched a “Social Distancing Scoreboard” that grades, county by county, which residents are changing behavior at the urging of health officials. It uses the reduction in the total distance we travel as a rough index for whether we’re staying put at home.
As much as we love soft robots (and we really love soft robots), the vast majority of them operate pneumatically (or hydraulically) at larger scales, especially when they need to exert significant amounts of force. This causes complications, because pneumatics and hydraulics generally require a pump somewhere to move fluid around, so you often see soft robots tethered to external and decidedly non-soft power sources. There’s nothing wrong with this, really, because there are plenty of challenges that you can still tackle that way, and there are some up-and-coming technologies that might result in soft pumps or gas generators.
Researchers at Stanford have developed a new kind of (mostly) soft robot based around a series of compliant, air-filled tubes. It’s human scale, moves around, doesn’t require a pump or tether, is more or less as safe as large robots get, and even manages to play a little bit of basketball.
Every day, now, we are seeing figures for ‘Covid deaths’. These numbers are often expressed on graphs showing an exponential rise. But care must be taken when reading (and reporting) these figures. Given the extraordinary response to the emergence of this virus, it’s vital to have a clear-eyed view of its progress and what the figures mean. The world of disease reporting has its own dynamics, ones that are worth understanding. How accurate, or comparable, are these figures comparing Covid-19 deaths in various countries?
We often see a ratio expressed: deaths, as a proportion of cases. The figure is taken as a sign of how lethal Covid-19 is, but the ratios vary wildly. In the US, 1.8 per cent (2,191 deaths in 124,686 confirmed cases), Italy 10.8 per cent, Spain 8.2 per cent, Germany 0.8 per cent, France 6.1 per cent, UK 6.0 per cent. A fifteen-fold difference in death rate for the same disease seems odd amongst such similar countries: all developed, all with good healthcare systems. All tackling the same disease.