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FDA approves at-home nasal swab test kit for COVID-19

The Food and Drug Administration (FDA) has granted emergency clearance for a coronavirus testing kit that allows people to take a nasal sample in their own homes and send it to a laboratory for diagnostic testing.

The FDA granted the clearance to the company Everlywell, Inc.

Christina Song, an Everlywell spokeswoman told The New York Times, “From the moment that you hit the order button, to the moment that you get the test results on your phone or device, that process is designed to take three to five days.”

The doomsday bunker market is thriving amid the coronavirus pandemic

As COVID-19 brings the real estate market to a standstill, demand for doomsday bunkers is at an all-time high (or low since the structures are underground). The shelters were once signifiers of fringe prepper communities worried about the coming apocalypse. During the pandemic, they’ve become vacation homes. “People thought we were crazy because they never believed anything like this could happen,” says Vicino. “Now they’re seeing it. Everybody is a believer.”


Survival companies are capitalizing on coronavirus fears to sell bunkers that can withstand the apocalypse. But their claims about the virus are questionable.

Interferon-α2b Treatment for COVID-19

The global pandemic of COVID-19 cases caused by infection with SARS-CoV-2 is ongoing, with no approved antiviral intervention. We describe here the effects of treatment with interferon (IFN)-α2b in a cohort of confirmed COVID-19 cases in Wuhan, China. In this uncontrolled, exploratory study, 77 adults hospitalized with confirmed COVID-19 were treated with either nebulized IFN-α2b (5 mU b.i.d.), arbidol (200 mg t.i.d.) or a combination of IFN-α2b plus arbidol. Serial SARS-CoV-2 testing along with hematological measurements, including cell counts, blood biochemistry and serum cytokine levels, and temperature and blood oxygen saturation levels, were recorded for each patient during their hospital stay. Treatment with IFN-α2b with or without arbidol significantly reduced the duration of detectable virus in the upper respiratory tract and in parallel reduced duration of elevated blood levels for the inflammatory markers IL-6 and CRP. These findings suggest that IFN-α2b should be further investigated as a therapy in COVID-19 cases.

In December 2019, an outbreak of pneumonia was reported in Wuhan, Hubei province, China, resulting from infection with a novel coronavirus (CoV), severe acute respiratory syndrome (SARS)-CoV-2. SARS-CoV-2 is a novel, enveloped betacoronavirus with phylogenetic similarity to SARS-CoV (1). Unlike the coronaviruses HCoV-229E, HCoV-OC43, HCoV-NL63, and HCoV-HKU, that are pathogenic in humans and are associated with mild clinical symptoms, SARS-CoV-2 resembles both SARS-CoV and Middle East respiratory syndrome (MERS), with the potential to cause more severe disease. A critical distinction is that CoVs that infect the upper respiratory tract tend to cause a mild disease, whereas CoVs that infect both upper and lower respiratory tracts (such as SARS-CoV-2 appears to be) may cause more severe disease. Coronavirus disease (COVID)-19, the disease caused by SARS-CoV-2, has since spread around the globe as a pandemic.

In the absence of a SARS-CoV-2-specific vaccine or an approved antiviral, a number of antivirals are currently being evaluated for their therapeutic effectiveness. Type I IFNs-α/β are broad spectrum antivirals, exhibiting both direct inhibitory effects on viral replication and supporting an immune response to clear virus infection (2). During the 2003 SARS-CoV outbreak in Toronto, Canada, treatment of hospitalized SARS patients with an IFN-α, resulted in accelerated resolution of lung abnormalities (3). Arbidol (ARB) (Umifenovir) (ethyl-6-bromo-4-[(dimethylamino)methyl]-5-hydroxy-1-methyl-2 [(phenylthio)methyl]-indole-3-carboxylate hydrochloride monohydrate), a broad spectrum direct-acting antiviral, induces IFN production and phagocyte activation. ARB displays antiviral activity against respiratory viruses, including coronaviruses (4).

Microwave quantum illumination using a digital receiver

Quantum illumination uses entangled signal-idler photon pairs to boost the detection efficiency of low-reflectivity objects in environments with bright thermal noise. Its advantage is particularly evident at low signal powers, a promising feature for applications such as noninvasive biomedical scanning or low-power short-range radar. Here, we experimentally investigate the concept of quantum illumination at microwave frequencies. We generate entangled fields to illuminate a room-temperature object at a distance of 1 m in a free-space detection setup. We implement a digital phase-conjugate receiver based on linear quadrature measurements that outperforms a symmetric classical noise radar in the same conditions, despite the entanglement-breaking signal path. Starting from experimental data, we also simulate the case of perfect idler photon number detection, which results in a quantum advantage compared with the relative classical benchmark. Our results highlight the opportunities and challenges in the way toward a first room-temperature application of microwave quantum circuits.

Quantum sensing is well developed for photonic applications (1) in line with other advanced areas of quantum information (25). Quantum optics has been, so far, the most natural and convenient setting for implementing the majority of protocols in quantum communication, cryptography, and metrology (6). The situation is different at longer wavelengths, such as tetrahertz or microwaves, for which the current variety of quantum technologies is more limited and confined to cryogenic environments. With the exception of superconducting quantum processing (7), no microwave quanta are typically used for applications such as sensing and communication. For these tasks, high-energy and low-loss optical and telecom frequency signals represent the first choice and form the communication backbone in the future vision of a hybrid quantum internet (810).

Despite this general picture, there are applications of quantum sensing that are naturally embedded in the microwave regime. This is exactly the case with quantum illumination (QI) (11–17) for its remarkable robustness to background noise, which, at room temperature, amounts to ∼103 thermal quanta per mode at a few gigahertz. In QI, the aim is to detect a low-reflectivity object in the presence of very bright thermal noise. This is accomplished by probing the target with less than one entangled photon per mode, in a stealthy noninvasive fashion, which is impossible to reproduce with classical means. In the Gaussian QI protocol (12), the light is prepared in a two-mode squeezed vacuum state with the signal mode sent to probe the target, while the idler mode is kept at the receiver.

AI gauges head injuries

Brain injuries can vary greatly in their severity, but assessing the extent of the damage is far from a simple undertaking. Scientists in the UK have developed a new AI algorithm that could help narrow the margin for error, with the ability to detect and categorize different types of brain lesions to gauge the impact of an injury.

One of the tools doctors use to assess brain injuries is a CT scan, which can reveal signs of damage, such as lesions, on the brain. But analyzing these scans to reach a diagnosis is a time-consuming process for radiologists, and given the complex nature of the organ, it can see tell-tale signs often overlooked.

“CT is an incredibly important diagnostic tool, but it’s rarely used quantitatively,” said Professor David Menon, from the University of Cambridge and senior author of the new study. “Often, much of the rich information available in a CT scan is missed, and as researchers, we know that the type, volume and location of a lesion on the brain are important to patient outcomes.”

Here Is What’s Behind The AI Revolution

“A wealth of information creates a poverty of attention,” said Andy McMurray, co-founder and CIO of Medal, an AI-based software company developing tools for health care, during an interview with Healthcare IT News.

This is especially true in the operating room, where surgery teams at the University of Iowa Hospital have reduced surgical site infection by 74% using DASH Analytics’ high-definition care platform (HDCP). This system observes data from the operation in real time and compares it to a patient’s history and its own infection models. Toward the end of the procedure, it automatically provides the surgeon with recommendations to reduce infection during wound closure. Furthermore, it notes whether the surgeon follows its suggestions or not and compares that to the outcome of the patient. This information is then used to both improve its infection model and improve the surgeon’s own performance in future surgeries.

Advances in AI build off of each other. One breakthrough opens the doors for more possibilities in the future, which in turn leads to even more breakthroughs at an exponential rate. Just as the Industrial Revolution automated back-breaking physical labor, the AI Revolution is poised to automate mind-numbing mental labor. Based on what we’ve seen in the last 10 years alone, we can expect to see this boom very soon.

FDA OKs 1st Stem Cell Human Trial for COVID-19

The stem cell treatment is derived from human placentas and is being developed by New Jersey biotech company Celularity. The early-stage trial will include up to 86 coronavirus patients with symptoms who will receive infusions of the stem cell therapy to assess the its safety and whether it prevents the patients from developing more severe illness, The New York Times.

The stem cells from the placenta used in this treatment are “natural killer” cells that guard a developing fetus or newborn from viruses in the mother. Celularity has been testing this treatment approach in cancer patients.

Initial results from the early trial are expected 30 to 60 days after the first patients receive their dose, Dr. Robert Hariri, Celularity’s founder and chief executive, told The Times.

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