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Brushing your teeth has never been so important.


It is conceived that specific combinations of periodontal bacteria are associated with risk for the various forms of periodontitis. We hypothesized that such specificity is also related to human cause-specific death rates. We tested this hypothesis in a representative sample of the US population followed for a mean duration of 11 years and found that two specific patterns of 21 serum antibodies against periodontal bacteria were significantly associated with increased all-cause and/or diabetes-related mortalities. These data suggested that specific combinations of periodontal bacteria, even without inducing clinically significant periodontitis, may have a significant impact on human cause-specific death rates. Our findings implied that increased disease and mortality risk could be transmittable via the transfer of oral microbiota, and that developing personalized strategies and maintaining healthy oral microbiota beyond protection against periodontitis would be important to manage the risk.

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The idea of storing digital data in DNA seems like science fiction. At first glance, it might not seem obvious that a molecule can store data. The term “data storage” conjures up images of physical artifacts like CDs and data centers, not a microscopic molecule like DNA. But there are a number of reasons why DNA is an exciting option for information storage.

The status quo

We’re in the midst of a data explosion. We create vast amounts of information via our estimated 17 billion internet-connected devices: smartphones, cars, health trackers, and all other devices. As we continue to add sensors and network connectivity to physical devices we will produce more and more data. Similarly, as we bring online the 4.2 billion people who are currently offline, we will produce more and more data.

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An entirely new type of computer that blends optical and electrical processing could get around this impending processing constraint and solve superlarge optimization problems. If it can be scaled up, this non-traditional computer could save costs by finding more optimal solutions to problems that have an incredibly high number of possible solutions.

There is a special type of problem – called a combinatorial optimization problem – that traditional computers find difficult to solve, even approximately. An example is what’s known as the “traveling salesman” problem, wherein a salesman has to visit a specific set of cities, each only once, and return to the first city, and the salesman wants to take the most efficient route possible. This problem may seem simple but the number of possible routes increases extremely rapidly as cities are added, and this underlies why the problem is difficult to solve.

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4DS has demonstrated Interface Switching ReRAM cells at a 40 nanometer geometry, representing significant progress in scalability and yield.

This 40nm geometry, demonstrated by 4DS, is smaller than the latest generation of 3D Flash — the most dominant non-volatile memory technology used in billions of mobile devices, cloud servers and data centers.

In 2016, 4DS has:

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Rebooting the immune system just got a bit easier. This could potentially be used to treat autoimmune diseases and just as exciting some of the aging processes.


A dietary approach to depleting blood stem cells may make it possible to conduct bone marrow transplantations without the use of chemotherapy or radiation therapy, according to researchers at the Stanford University School of Medicine.

The discovery, made in collaboration with researchers at the University of Tokyo, may also become a new way to treat certain cancers without chemo or radiation, which can cause severe side effects.

The researchers showed that a diet deficient in the essential amino acid valine could effectively deplete the population of in mice and allow them to be successfully transplanted with blood stem cells from other mice. The researchers also showed that human blood stem cells in the laboratory were affected by a lack of access to valine, suggesting that the same therapeutic approach may work in humans.

A London-based startup has combined some of today’s most disruptive technologies in a bid to change the way we’ll build the future. By retrofitting industrial robots with 3D printing guns and artificial intelligence algorithms, Ai Build has constructed machines that can see, create, and even learn from their mistakes.

When CEO and founder Daghan Cam was studying architecture, he noticed a disconnect between small-scale manufacturing and large-scale construction. “On one side we have a fully automated production pipeline,” Cam explained at a recent conference in London. “On the other side we’re completely dependent on human labor.” With the emergence of more efficient printing technologies, he thought there must be a better way.

“We wanted to push the boundaries of how intricate we could design things through computation and how we could create them through 3D printing,” Cam said.

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Earlier this year, former Braintree founder Bryan Johnson publicly announced his plans to forge Kernel, a company with the sole purpose of building hardware and software to augment human intelligence. Today, Johnson is investing $100 million of his own money into the concept, looking to rapidly double the size of his team, shore up a portfolio of intellectual property and prepare for animal and human testing trials for a forthcoming device aimed at reducing cognitive deficiencies for sufferers of conditions like Alzheimer’s and dementia.

Kernel is still very much in the planning stages, but the idea is rooted in the research of Theodore Berger, the company’s chief science officer. The futuristic device, which Johnson says might actually not need to be implanted beneath the skull at all, is designed to facilitate communication between brain cells by hacking the “neural code” that enables our brain to store and recall key information. With proper implementation, such a device could correct faulty signals to mend a cognitive impairment.

“We have done this before with biology and genomics,” said Johnson in an interview. “We can program yeast to do a specific function. We can expect the same path with neural code.”

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If you don’t like the thought of bugs crawling all over you, then you might not like one possible direction in which the field of wearable electronics is heading. Researchers from MIT and Stanford University recently showcased their new Rovables robots, which are tiny devices that roam up and down a person’s clothing – and yes, that’s as the clothing is being worn.

The centimeter-sized robots hang on by pinching the fabric between their wheels, with the physically-unconnected wheel on the underside of the material held against the others simply by magnetic attraction.

Each Rovable contains a battery, microcontroller, and a wireless communications module that lets it track the movements and locations of its fellow little robots. It also has an inertial measurement unit (IMU), which includes a gyroscope and accelerometer. By using that IMU and by counting its wheel revolutions, the robot is able to keep track of its own location, allowing for limited autonomous navigation on the wearer’s body.

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