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Summary: A newly developed reparative hydrogel, which researchers are dubbing “brain glue”, protects against loss of brain tissue following a TBI and can aid in functional neural repair.

Source: University of Georgia.

At a cost of $38 billion a year, an estimated 5.3 million people are living with a permanent disability related to traumatic brain injury in the United States today, according to the Centers for Disease Control and Prevention. The physical, mental and financial toll of a TBI can be enormous, but new research from the University of Georgia provides promise.

A team of researchers at Shanghai Jiao Tong University, has found that the human hand can be used as a powerless infrared radiation (IR) source in multiple kinds of applications. In their paper published in Proceedings of the National Academy of Sciences, the group notes that the human hand naturally emits IR and they demonstrate that the radiation can be captured and used.

The emits light in the invisible IR range, including the hands. This source of radiation, the researchers noted, could potentially be captured and used in applications ranging from signal generation to encryption systems. They further noted that because the hand has multiple fingers, the IR that it emits could be considered to be multiplexed.

IR is a form of —its wavelengths are longer than those of , which is why humans cannot see them. Prior research has shown that the human body emits such radiation due to body heat. Electromagnetic radiation carries with it radiant energy, and its behavior is classified as both a quantum particle and a wave. Prior research has also shown that electromagnetic radiation can be used in a variety of applications, including microwaves, radios and medical imaging devices. And , in particular, enables night vision goggles, spectroscopy devices and used to treat burn victims. In this new effort, the researchers have found that the very small amount of IR emitted by the human hand is sufficient to use in various devices.

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“A new research study conducted by the Department of Psychiatry & Behavioral Sciences aims to evaluate how visual perception changes after taking psilocybin (aka ”magic mushrooms”) and how these changes relate to brain functions. We might learn how this drug could be used to treat certain mental health conditions. That is why it is essential to have more research to expand our knowledge base about the drug, psilocybin.

Our participants will be healthy adults from ages 25 to 65 years who have taken psilocybin previously. Study duration for participants will be 12 weeks. Over the course of 7 study visits, participants will undergo interviews, MRls, EEG, blood draws, and drug dosing sessions. Participants will be compensated after each visit.

Like something straight out of a pulpy sci-fi horror flick, researchers at Tufts University and the University of Vermont (UVM) have engineered a new generation of living robots they call Xenobots, which demonstrate cooperative swarm activity while collecting piles of micro particles.

Last year, this same team of scientists and biologists created tiny self-healing bio-machines that exhibited movement, payload pushing abilities, and a sort of hive mentality. The blueprints for creating these biological bots, which technically aren’t a typical robot or a catalogued animal species, but instead are more akin to a distinct class of unique artifact that acts as a living, programmable organism.

Bay Area-based Rapid Robotics today announced a $12 million Series A. The new round, led by NEA, brings the company’s total funding up to $17.5 million. It joins a recently closed seed round, announced way back in November of last year. Existing investors Greycroft, Bee Partners and 468 Capital also took part in the round.

We noted at that stage that COVID-19 had a sizable impact on robotics investment. At the very least, the pandemic has served to accelerate interest in automation, as many “non-essential” workers have been unable to travel to their jobs. At present, manufacturing jobs often lack the ability to perform remotely.

Rapid notes that the company’s tech has been involved with the production of some 50 million parts over the past year, over a wide variety of different manufacturing verticals. And, like his predecessor, President Biden has already begun talking up strategies to return manufacturing jobs to the U.S. Of course, ambitious as it might be, any plan is going to have to be a balancing act between human jobs and automation.

Summary: Combining artificial intelligence technology with brain scan data, researchers have identified three novel subtypes of multiple sclerosis.

Source: UCL

Scientists at UCL have used artificial intelligence (AI) to identify three new multiple sclerosis (MS) subtypes. Researchers say the groundbreaking findings will help identify those people more likely to have disease progression and help target treatments more effectively.