Lifeboat Foundation

Article. I guess having implants directly on the brain isn’t the only way to have a brain to machine interface. The scientists involved in the study found an alternative by picking up signals through the blood vessels.

It’s not as information packed as a direct brain connection, but it’s not as invasive.

I think it would be a good alternative or even complementary to direct brain implants. Interesting. 😃

Continue reading “A New Way to Plug a Human Brain Into a Computer: via Veins” »

While our circadian body clock dictates our preferred rhythm of sleep or wakefulness, a relatively new concept—the epigenetic clock—could inform us about how swiftly we age, and how prone we are to diseases of old age.

People age at different rates, with some individuals developing both characteristics and diseases related to aging earlier in life than others. Understanding more about this so-called ‘biological age’ could help us learn more about how we can prevent diseases associated with age, such as dementia. Epigenetic markers control the extent to which genes are switched on and off across the different cell-types and tissues that make up a human body. Unlike our genetic code, these epigenetic marks change over time, and these changes can be used to accurately predict biological age from a DNA sample.

Now, scientists at the University of Exeter have developed a new epigenetic clock specifically for the human brain. As a result of using human brain tissue samples, the new clock is far more accurate than previous versions, that were based on blood samples or other tissues. The researchers hope that their new clock, published in Brain and funded by Alzheimer’s Society, will provide insight into how accelerated aging in the brain might be associated with brain diseases such as Alzheimer’s disease and other forms of dementia.

A team headed by Prof. Massimiliano Mazzone (VIB-KU Leuven Center for Cancer Biology), in collaboration with Dr. Emanuele Berardi and Dr. Min Shang, revealed a new metabolic dialogue between inflammatory cells and muscle stem cells. The researchers show that strengthening this metabolic crosstalk with an inhibitor of the enzyme GLUD1 fosters the release of glutamine, and improves muscle regeneration and physical performance in experimental models of muscle degeneration such as trauma, ischemia, and aging. Besides its translational potential, this work also provides key advances in several fields of research including muscle biology, immunometabolism, and stem cell biology.

The role of glutamine

Skeletal muscle is instrumental to move our body, but it is also a large reservoir of amino acids stored as proteins and it influences energy and protein metabolism throughout the human body. The role of the amino acid glutamine has been considered central for muscle metabolism because of its abundance. However, its precise role after trauma or during chronic muscle degenerative conditions were largely neglected.

In 1831, the British explorer James Clark Ross determined the position of the magnetic North Pole to within a few miles for the first time. He found it on the Boothia Peninsula in Nunavut, northern Canada where he and his team camped in the “snow huts of a recently deserted Esquimaux village”.

Even then, the pole was known to move, albeit slowly. Some 70 years later, the Norwegian Amundsen rediscovered it nearby and over the next ninety years, it migrated slowly northwards at a rate of up to 15 kilometers (just over 9 miles) per year.

Then, in 1990, it suddenly began to accelerate northwards. In 2017, it passed the geographic North Pole and is now heading south towards Siberia.

DARPA’s effort to track undersea life’s behavior as a means to detect enemy submarines has just entered its second phase. In the first phase, DARPA’s Persistent Aquatic Living Sensors (PALS) program sought to prove that sea life would respond to the presence of a submarine in a measurable way. With that seemingly confirmed, the second stage of the program will focus on developing sensors that can identify that behavior and relay a warning back to manned locations aboard a ship or onshore.

While the science is complex, the premise behind the PALS program is fairly simple. Undersea life tends to behave in a certain way when it senses the presence of a large and foreign object like a submarine. By broadly tracking the behavior of sea life, PALS aims to measure and interpret that behavior to make educated guesses about what must be causing it. In other words, by constantly tracking the behavior of nearby wildlife, PALS sensors can notice a significant change, compare it to a library of known behaviors, and predict a cause… like an enemy submarine, even if a submarine was stealthy enough to otherwise evade detection.

With enough data about how animals react to the presence of an enemy vessel as compared to how animals react to the presence of a large predator or more common undersea threat, PALS could serve as an early warning system when enemy subs approach.

An urban spaceport that floats in Tokyo Bay is designed to make space travel more accessible.

Three actions policymakers and business leaders can take today.

New developments in AI could spur a massive democratization of access to services and work opportunities, improving the lives of millions of people around the world and creating new commercial opportunities for businesses. Yet they also raise the specter of potential new social divides and biases, sparking a public backlash and regulatory risk for businesses. For the U.S. and other advanced economies, which are increasingly fractured along income, racial, gender, and regional lines, these questions of equality are taking on a new urgency. Will advances in AI usher in an era of greater inclusiveness, increased fairness, and widening access to healthcare, education, and other public services? Or will they instead lead to new inequalities, new biases, and new exclusions?

Three frontier developments stand out in terms of both their promised rewards and their potential risks to equality. These are human augmentation, sensory AI, and geographic AI.

Continue reading “Unlocking AI’s Potential for Social Good” »

The complex network of interconnected cellular signals produced in response to changes in the human body offers a vast amount of interesting and valuable insight that could inform the development of more effective medical treatments. In peripheral immune cells, these signals can be observed and quantified using a number of tools, including cell profiling techniques.

Single-cell profiling techniques such as polychromatic flow and mass cytometry have improved significantly over the past few years and they could now theoretically be used to obtain detailed immune profiles of patients presenting a number of symptoms. Nonetheless, the limited sample sizes of past studies and the high dimensionality of the patient data collected so far increase the chances of false-positive discoveries, which in turn lead to unreliable immune profiles.

Conducting studies on larger groups of patients could improve the effectiveness of these cell-profiling techniques, allowing medical researchers to gain a better understanding of the patterns associated with medical conditions. Gathering data from many patients, however, can be both expensive and time consuming.

Vertical farms subvert the space limitations of cities by allowing for portable, shipping container-esque produce farms that can operate in any urban environment.