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Canadian researchers led by Montreal radiologist Gilles Soulez have developed a novel approach to treat liver tumors using magnet-guided microrobots in an MRI device.

The idea of injecting microscopic robots into the bloodstream to heal the human body is not new. It’s also not science fiction. Guided by an external magnetic field, miniature biocompatible robots, made of magnetizable iron oxide nanoparticles, can theoretically provide medical treatment in a very targeted manner.

Until now, there has been a technical obstacle: the force of gravity of these microrobots exceeds that of the magnetic force, which limits their guidance when the tumor is located higher than the injection site. While the magnetic field of the MRI is high, the magnetic gradients used for navigation and to generate MRI images are weaker.

The development of innovative magnetic nanodevices is one step closer to reality thanks to the observation by RIKEN physicists of a type of rotation that can be realized in materials consisting of light elements.

The ability to use electric currents to turn revolving mechanical parts led to the development of electric motors and caused an explosion in electrical devices. Now, physicists are trying to do the same thing but on a nanoscale. However, the development of innovative magnetic nanodevices requires the efficient electrical generation of rotation, or torque.

Usually, torque is generated in magnetic systems by converting electric charge to spin by using the strong spin–orbit interaction of a heavy-metal layer. The resulting spin current is then injected into adjacent ferromagnetic layers. But heavy-element materials are often incompatible with scalable production processes, and their high resistance makes them unsuitable for some applications.

Scientists are investigating whether an oral drug sprinkled with gold nanoparticles could one day treat neurodegenerative diseases like Parkinson’s and multiple sclerosis.

The experimental medicine, called CNM-Au8, has now shown success in boosting the brain’s metabolism in phase II clinical trials.

Research on the safety and efficacy of the daily drug is still ongoing, but the initial results have researchers hopeful. The medicine contains suspended nanoparticles of gold that can apparently pass the blood-brain barrier and improve energy supply to neurons, preventing their decline.

The U.S. Naval Research Laboratory (NRL), in collaboration with Kansas State University, has discovered slab waveguides based on the two-dimensional material hexagonal boron nitride. This milestone has been reported in the journal Advanced Materials.

Two-dimensional (2D) materials are a class of materials that can be reduced to the monolayer limit by mechanically peeling the layers apart. The weak interlayer attractions (van der Waals attraction) allow the layers to be separated via the so-called “Scotch tape” method.

The most well-known 2D material, graphene, is a semimetallic material consisting of a single layer of carbon atoms. Recently, other 2D materials including semiconducting transition metal dichalcogenides (TMDs) and insulating hexagonal boron nitride (hBN) have also garnered attention. When reduced near the monolayer limit, 2D materials have unique nanoscale properties that are appealing for creating atomically thin electronic and optical devices.

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Nanotechnology is intimately intertwined with efforts to bring bottom-up synthetic cell research to the forefront, and only strengthening these bonds will expand the scope of what this might achieve.

A revolutionary nanomaterial with huge potential to tackle multiple global challenges could be developed further without acute risk to human health, research suggests. A revolutionary nanomaterial with huge potential to tackle multiple global challenges could be developed further without acute ri.

An innovative new chip uses light for fast, efficient AI computations, promising a leap in processing speeds and privacy.

Penn Engineers have developed a new chip that uses light waves, rather than electricity, to perform the complex math essential to training AI. The chip has the potential to radically accelerate the processing speed of computers while also reducing their energy consumption.

The silicon-photonic (SiPh) chip’s design is the first to bring together Benjamin Franklin Medal Laureate and H. Nedwill Ramsey Professor Nader Engheta’s pioneering research in manipulating materials at the nanoscale to perform mathematical computations using light — the fastest possible means of communication — with the SiPh platform, which uses silicon, the cheap, abundant element used to mass-produce computer chips.

The study revealed that the use of graphene oxide had no adverse effects on lung function, blood pressure, or the majority of other biological parameters under scrutiny.

The findings of the study promise to advance our grasp of graphene’s health effects, facilitating safer incorporation into industries, notably medicine.