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Category: biotech/medical

Circa 2015

Coatings that attract water (hydrophilic) are useful for anti-fogging applications6; any liquid water spreads out into a thin film thereby maintaining transparency. This is more favorable than using hydrophobic surfaces for anti-fogging as this requires a surface to be tilted for the droplets to roll off and transparency be maintained. Hydrophilic surfaces can also be used for self-cleaning7. Previous examples of superhydrophilic surfaces include the use of polymer–nanoparticle coatings8,9,10,11 however mechanical durability was not investigated.

Coatings with surface tensions lower than that of water (72 mN m–1) but higher than that of oils12 (20–30 mN m–1) will attract oils (oleophilic) but repel water and can be used to create oil–water separators13,14,15. When applied to a porous substrate, the coating will allow the passage of oil but block the passage of water, resulting in their separation. In addition, their water repellency also makes them ideal for self-cleaning4,16 and anti-icing17,18,19 applications. Anti-icing surfaces are typically superhydrophobic as supercooled droplets of water are able to roll off the cold surface before freezing and any ice formed is weakly adhered compared to hydrophilic surfaces due to an air cushion18,20.

Coatings with lower surface tensions (∼ 20 mN m–1 or less) will repel both oil (oleophobic) and water and are useful for anti-fouling such as in medical and transport applications, where both the oil-repellency and nanostructuring are of importance21,22,23,24,25,26,27. Previous work was not suitable for such applications as either the durability28 or oil-repellency29 was not optimal. The oil repellency also makes these surfaces ideal for anti-smudge applications30,31 where the oils from fingers are not deposited onto the surface and the surface remains clear. The water repellency means these coatings can also be used in self-cleaning and anti-icing applications.

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Circa 2020

Researchers at UC Berkeley have developed a rapid test for SARS-CoV-2 that uses an enzyme to cleave viral RNA, initiating a fluorescent signal that can be detected using a smartphone camera, and which can provide a quantitative measurement of the level of viral particles in the sample. The test produce a result in as little as 30 minutes and does not require bulky or expensive laboratory equipment.

Rapid testing is key to measuring and stopping the spread of COVID-19, but current tests, such as PCR, are time consuming and require expensive laboratory equipment, creating a bottleneck in obtaining results. Researchers have been developing alternatives, and this latest technology was rapidly repurposed when the pandemic began. Originally intended to detect HIV in blood samples, the Berkeley researchers have pivoted to allow the device to detect SARS-CoV-2 in nasal swab samples.

The test relies on CRISPR-Cas, originally developed as a gene editing technology. When a pre-programmed Cas13 enzyme is added to the sample, it can cleave RNA sequences from the SARS-CoV-2 virus. This results in other nearby sequences being cleaved also, including a probe that releases fluorescent light when cleaved. The device uses a laser to excite this fluorescence and a smartphone camera can then detect the light, providing a quantitative measurement of the viral particles present in the sample.

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Stimulation of the nervous system with neurotechnology has opened up new avenues for treating human disorders, such as prosthetic arms and legs that restore the sense of touch in amputees, prosthetic fingertips that provide detailed sensory feedback with varying touch resolution, and intraneural stimulation to help the blind by giving sensations of sight.

Scientists in a European collaboration have shown that optic nerve stimulation is a promising neurotechnology to help the blind, with the constraint that current technology has the capacity of providing only simple visual signals.

Nevertheless, the scientists’ vision (no pun intended) is to design these simple visual signals to be meaningful in assisting the blind with daily living. Optic nerve stimulation also avoids invasive procedures like directly stimulating the brain’s visual cortex. But how does one go about optimizing stimulation of the optic nerve to produce consistent and meaningful visual sensations?

Now, the results of a collaboration between EPFL, Scuola Superiore Sant’Anna and Scuola Internazionale Superiore di Studi Avanzati, published today in Patterns, show that a new stimulation protocol of the optic nerve is a promising way for developing personalized visual signals to help the blind–that also take into account signals from the visual cortex. The protocol has been tested for the moment on artificial neural networks known to simulate the entire visual system, called convolutional neural networks (CNN) usually used in computer vision for detecting and classifying objects. The scientists also performed psychophysical tests on ten healthy subjects that imitate what one would see from optic nerve stimulation, showing that successful object identification is compatible with results obtained from the CNN.

“We are not just trying to stimulate the optic nerve to elicit a visual perception,” explains Simone Romeni, EPFL scientist and first author of the study. “We are developing a way to optimize stimulation protocols that takes into account how the entire visual system responds to optic nerve stimulation.”

“The research shows that you can optimize optic nerve stimulation using machine learning approaches. It shows more generally the full potential of machine learning to optimize stimulation protocols for neuroprosthetic devices,” continues Silvestro Micera, EPFL Bertarelli Foundation Chair in Translational Neural Engineering and Professor of Bioelectronics at the Scuola Superiore Sant’Anna.

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Hugh Herr is building the next generation of bionic limbs, robotic prosthetics inspired by nature’s own designs. Herr lost both legs in a climbing accident 30 years ago; now, as the head of the MIT Media Lab’s Biomechatronics group, he shows his incredible technology with the help of ballroom dancer Adrianne Haslet-Davis, who lost her left leg in the 2013 Boston Marathon bombing.

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Automated data searches and new customized patient care are the future of cancer treatment.

Each day information floods into every cancer clinic. Oncologists are scrambling for new ways to tap it to deliver the best of modern cancer care.

This article was produced by Hackensack Meridian Health in partnership with Scientific American Custom Media, a division separate from the magazine’s board of editors.

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After a decade of design and fabrication, General Atomics is ready to ship the first module of the Central Solenoid, the world’s most powerful magnet. It will become a central component of ITER, a machine that replicates the fusion power of the Sun. ITER is being built in southern France by 35 partner countries.

ITER’s mission is to prove energy from hydrogen fusion can be created and controlled on earth. Fusion energy is carbon-free, safe, and economic. The materials to power society with hydrogen fusion for millions of years are readily abundant.

Despite the challenges of Covid-19, ITER is almost 75 percent built. For the past 15 months, massive first-of-a-kind components have begun to arrive in France from three continents. When assembled together, they will make up the ITER Tokamak, a “sun on earth” to demonstrate fusion at industrial scale.

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When exposed to human-made noise, seagrass posidonia reveals permanent severe lesions in their sensory organs that sense gravity, which threatens their survival. This is the main conclusion of a recent study of the Laboratory of Applied Bioacoustics (LAB) of Universitat Politècnica de Catalunya BarcelonaTech (UPC) titled “Seagrass Posidonia is impaired by human-generated noise,” which is published in Nature Communications Biology.

These new findings demonstrate that have the physiological ability to perceive sounds, and just as importantly, reveal that commonly encountered sources of noise in the ocean can contribute to deplete their populations.

The last 100 years have seen the introduction of many sources of artificial noise in the sea environment, which have shown to negatively affect marine organisms. Many aspects of how noise and other forms of energy may critically impact the natural balance of the oceans are still unstudied. A lot of attention has been devoted to determining the sensitivity to noise of fish and marine mammals, especially cetaceans and pinnipeds, because they are known to possess hearing organs. Recent studies conducted at the Laboratory of Applied Bioacoustics (LAB) of the Universitat Politècnica de Catalunya, Barcelona Tech (UPC) have also shown that cephalopods, anemones and jellyfish, while lacking similar auditory receptors, are also affected by artificial sounds. Indeed, marine invertebrates have sensory organs whose main functions allow these species to maintain equilibrium and sense gravity in the water column.

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The US Centers for Disease Control and Prevention now calls the Delta variant of the novel coronavirus, also known as B.1.617.2, a “variant of concern.”

The variant of concern designation is given to strains of the virus that scientists believe are more transmissible or can cause more severe disease. Vaccines, treatments and tests that detect the virus may also be less effective against a variant of concern. Previously, the CDC had considered the Delta variant to be a variant of interest.

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