While governments, international bodies and the public health community scramble to arrest the COVID-19 virus, now a pandemic, and with states of emergency declared nationwide and in Massachusetts, medical experts are still trying to come up with vaccines that can do a better job against various strains of influenza that have sickened and killed people for many decades.
The experts say the effectiveness rate of flu shots should be at least 90% successful.
But data collected for nearly two decades by the US Center for Disease Control and Prevention show effectiveness rates often hovers between 40 and 50%.
Data from the 2018-2019 flu season, the most recent set of complete information, first published in June, indicated that a flu shot to prevent influenza A, the H3N2 strain, was only 9% effective in preventing onset of the flu, among all age groups.
Biologists work in a laboratory at Pluristem Therapeutics Inc. in Haifa
Not only have all the patients survived, according to Pluristem, but four of them showed improvement in respiratory parameters.
Six critically ill coronavirus patients in Israel who are considered high-risk for mortality have been treated with Pluristem’s placenta-based cell-therapy product and survived, according to preliminary data provided by the Haifa-based company.
The patients were treated at three different Israeli medical centers for one week under the country’s compassionate use program and were suffering from acute respiratory failure and inflammatory complications associated with COVID-19. Four of the patients also demonstrated failure of other organ systems, including cardiovascular and kidney failure.
Not only have all the patients survived, according to Pluristem, but four of them showed improvement in respiratory parameters and three of them are in the advanced stages of weaning from ventilators. Moreover, two of the patients with preexisting medical conditions are showing clinical recovery in addition to the respiratory improvement.
A cell, in greenish brown, heavily infected with coronavirus particles, in pink.
Such a test may help scientists learn how widespread the infection is, and how long people remain immune after recovering.
A cell, in greenish brown, heavily infected with coronavirus particles, in pink.Credit…Niaid, via Reuters
The Food and Drug Administration on Thursday approved a new test for coronavirus antibodies, the first for use in the United States.
Currently available tests are designed to find fragments of viral genes indicating an ongoing infection. Doctors swab the nose and throat, and amplify any genetic material from the virus found there.
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.
This novel coronavirus is a sneaky variety similar to those that have been responsible for the most destructive outbreaks of the last 100 years.
Viruses have spent billions of years perfecting the art of surviving without living – a frighteningly effective strategy that makes them a potent threat in today’s world.
That’s especially true of the deadly new coronavirus that has brought global society to a screeching halt. It’s little more than a packet of genetic material surrounded by a spiky protein shell one-thousandth the width of an eyelash, and leads such a zombie-like existence, it’s barely considered a living organism.
But as soon as it gets into a human airway, the virus hijacks our cells to create millions more versions of itself.
There is a certain evil genius to how this coronavirus pathogen works: It finds easy purchase in humans without them knowing. Before its first host even develops symptoms, it is already spreading its replicas everywhere, moving onto its next victim. It is powerfully deadly in some, but mild enough in others to escape containment. And, for now, we have no way of stopping it.
When a neuron fires, calcium flows into the cell in a wave that sweeps along the cell body. Images of this infragranular neuron were obtained three times per second by two-dimensional scanning with a Bessel focus. Redder structures are deeper in the mouse cortex. (UC Berkeley images by Na Ji)
Electrical and chemical signals flash through our brains constantly as we move through the world, but it would take a high-speed camera and a window into the brain to capture their fleeting paths.
University of California, Berkeley, investigators have now built such a camera: a microscope that can image the brain of an alert mouse 1,000 times a second, recording for the first time the passage of millisecond electrical pulses through neurons.
“This is really exciting, because we are now able to do something that people really weren’t able to do before,” said lead researcher Na Ji, a UC Berkeley associate professor of physics and of molecular and cell biology.
The new imaging technique combines two-photon fluorescence microscopy and all-optical laser scanning in a state-of-the-art microscope that can image a two-dimensional slice through the neocortex of the mouse brain up to 3,000 times per second. That’s fast enough to trace electrical signals flowing through brain circuits.
From NASA’s Moon to Mars program to Elon Musk’s ambitious plan to send a million people to Mars by 2050, the race is on to get human feet on the red planet. With increasingly sophisticated rockets and robotics, the technological challenges standing in the way of this goal are fast being eroded.
But there might be a different issue which hampers plans to take people off-planet and send them out to explore the rest of the solar system. Strange things happen to the human body in space, and we’re going to need to find ways to address these medical issues if we want to be able to send astronauts on long-duration missions like the several years that a Mars mission might require.
Digital Trends spoke to University College London cardiologist Dr. Rohin Francis, who has performed studies into space medicine, about how human bodies respond to long-term habitation of the space environment and what that might mean for manned missions to Mars.
Hydroxychloroquine one of several drugs cited in recent days as being possibly effective against coronavirus; Israeli firm says it will provide as many as possible at no cost
Israeli generic drug giant Teva announced Friday that it will provide ten million doses of its anti-malarial drug hydroxychloroquine, which could potentially prove effective in fighting the coronavirus pandemic, to US hospitals free of charge.
The company said six million doses will be delivered to US hospitals by March 31, and more than ten million in a month.
“We are committed to helping to supply as many tablets as possible as demand for this treatment accelerates at no cost,” Teva executive vice president Brendan O’Grady said.
Hamlet Pharma Labs researching a breast milk compound which kills cancer
Swedish scientists from the University of Lund have found promising results from researching the effects of a compound found in breast milk – a substance nicknamed Hamlet (Human Alpha-Lactalbumin Made LEthal To Tumor Cells) – on bladder cancer patients. In the early trials, those injected with the compound began to shed dead tumor cells through their urine within days. The best part is, the Hamlet targeted the cancer cells alone, thus offering an alternative to chemotherapy and radiotherapy treatments which damage both healthy and cancerous cells in the body.
The early trial involved 40 patients with hard-to-treat bladder cancer. All 20 who were given the drug rather than placebo, in six infusions over 22 days, excreted whole tumor fragments in their urine. Then, there was another human trial involving nine bladder cancer patients. These participants were administered five daily doses in the week before surgery to remove their tumor. Eight of them started passing tumor cells in their urine just two hours after being given the drug, and their tumors reduced in size or aggression. None of them suffered any damage to surrounding tissue. The trial was overseen by scientists from Lund University in Sweden and carried out at Motol University Hospital in Prague.
Technological convergence in 8 areas is taking direct aim at the limits of human lifespan
By Peter H. Diamandis and Steven Kotler
Technology hasn’t just improved our lives; it’s also extended them — considerably.
For most of history, humans lived about 25 years. Real acceleration emerged at the turn of the 20th century, when everything from the creation of antibiotics to the implementation of better sanitation to the increased availability of clean water, and the ability to tackle killers like cancer and heart disease has us living routinely into our 80s. But many scientists believe we’re not stopping there.
Technological convergence is fueling this conviction. The intersection of artificial intelligence, cloud computing, networks, sensors, robotics, massive datasets, biotechnology and nanotechnology is taking direct aim at the limits of human lifespan.
Most cases are not life-threatening, which is also what makes the virus a historic challenge to contain.
In May 1997, a 3-year-old boy developed what at first seemed like the common cold. When his symptoms—sore throat, fever, and cough—persisted for six days, he was taken to the Queen Elizabeth Hospital in Hong Kong. There his cough worsened, and he began gasping for air. Despite intensive care, the boy died.
Puzzled by his rapid deterioration, doctors sent a sample of the boy’s sputum to China’s Department of Health. But the standard testing protocol couldn’t fully identify the virus that had caused the disease. The chief virologist decided to ship some of the sample to colleagues in other countries.
At the U.S. Centers for Disease Control and Prevention in Atlanta, the boy’s sputum sat for a month, waiting for its turn in a slow process of antibody-matching analysis. The results eventually confirmed that this was a variant of influenza, the virus that has killed more people than any in history. But this type had never before been seen in humans. It was H5N1, or “avian flu,” discovered two decades prior, but known only to infect birds.
By then, it was August. Scientists sent distress signals around the world. The Chinese government swiftly killed 1.5 million chickens (over the protests of chicken farmers). Further cases were closely monitored and isolated. By the end of the year there were 18 known cases in humans. Six people died.
This was seen as a successful global response, and the virus was not seen again for years. In part, containment was possible because the disease was so severe: Those who got it became manifestly, extremely ill. H5N1 has a fatality rate of about 60 percent—if you get it, you’re likely to die. Yet since 2003, the virus has killed only 455 people. The much “milder” flu viruses, by contrast, kill fewer than 0.1 percent of people they infect, on average, but are responsible for hundreds of thousands of deaths every year.