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Category: biotech/medical – Page 1,449

At Last: New Synthetic Tooth Enamel Is Harder and Stronger Than the Real Thing

Delivering what has been so challenging to produce, researchers present an engineered analog of tooth enamel – an ideal model for designing biomimetic materials – designed to closely mimic the composition and structure of biological teeth’s hard mineralized outer layer. It demonstrates exceptional mechanical properties, they say.

Natural tooth enamel – the thin outer layer of our teeth – is the hardest biological material in the human body. It is renowned for its high stiffness, hardness, viscoelasticity, strength, and toughness and exhibits exceptional damage resistance, despite being only several millimeters thick.

Tooth enamel’s unusual combination of properties is a product of its hierarchical architecture – a complex structure made up of mostly hydroxyapatite nanowires interconnected by an amorphous intergranular phase (AIP) consisting of magnesium-substituted amorphous calcium phosphate. However, accurately replicating this type of hierarchical organization in a scalable abiotic composite has remained a challenge.

Don’t Let The Old Man In: How To Develop A Longevity Mindset And Fight Psychological Aging?

Overall, the results indicate that failure-oriented people are more likely to make poor health choices, presumably due to a lack of proper motivation. When looking at the cause of death for each author, results also showed a strong link between failure motivation and whether or not the death could be considered preventable.

As we can see from this study and many other similar studies, people who expect failure are generally less effective in maintaining good health habits. On the other hand, a positive outlook can play a powerful role in our health decisions. Healthy behaviors include regular exercise, good nutrition, an active lifestyle, and full compliance with medical advice., all of which require strong motivation to ensure we stay the course. A positive mindset also makes us avoid unhealthy activities such as drinking, smoking, and prolonged inactivity. People who develop a failure mindset, whether due to health setbacks, hopelessness, or a general sense of fatalism, often make lifestyle decisions that can undermine their overall health and, as a result, their longevity.

Full Story:

We often look at our parents and grandparents to predict how long we are going to live and how fast we are going to age. But technology is not standing still and you may benefit from adjusting your longevity expectations and developing a longevity mindset.

The Evil Twins Of Technocracy And Transhumanism

This is the keynote presentation delivered to the 39th annual convention of Doctors for Disaster Preparedness in Tucson, Arizona on July 31, 2021. It is a detailed analysis of how Scientism is at the root of both Technocracy and Transhumanism, the historical case and the modern dilemma.

See also on Rumble: https://rumble.com/vkowl9-the-evil-twins-of-technocracy-and-transhumanism.html

Rapid DNA Sequencing Tech Breaks the Speed Record for Reading Whole Genomes

For children suffering from rare diseases, it usually takes years to receive a diagnosis. This “diagnostic odyssey” is filled with multiple referrals and a barrage of tests, seeking to uncover the root cause behind mysterious and debilitating symptoms.

A new speed record in DNA sequencing may soon help families more quickly find answers to difficult and life-altering questions.

In just 7 hours, 18 minutes, a team of researchers at Stanford Medicine went from collecting a blood sample to offering a disease diagnosis. This unprecedented turnaround time is the result of ultra-rapid DNA sequencing technology paired with massive cloud storage and computing. This improved method of diagnosing diseases allows researchers to discover previously undocumented sources of genetic diseases, shining new light on the 6 billion letters in the human genome.

AI learns physics to optimize particle accelerator performance

Machine learning, a form of artificial intelligence, vastly speeds up computational tasks and enables new technology in areas as broad as speech and image recognition, self-driving cars, stock market trading and medical diagnosis.

Before going to work on a given task, algorithms typically need to be trained on pre-existing data so they can learn to make fast and accurate predictions about future scenarios on their own. But what if the job is a completely new one, with no data available for training?

Now, researchers at the Department of Energy’s SLAC National Accelerator Laboratory have demonstrated that they can use machine learning to optimize the performance of particle accelerators by teaching the algorithms the basic principles behind operations—no prior data needed.

New Research Finds That With Obesity, the Problem Isn’t an Excess of Fat but Its Loss of Function

What exactly is Obesity?

Obesity is known to cause cardiometabolic diseases like hypertension and diabetes but attributing these diseases to merely an overabundance of fat is a simplification. On a basic level, fat acts as a receptacle to store energy, but upon a closer look it is an essential actor in vital bodily processes like the immune response, the regulation of insulin sensitivity, and maintenance of body temperature. In a review published in the journal Cell on February 3rd, 2022, researchers argue that the negative health effects of obesity stem not simply from an excess of fat but from the decline in its ability to respond to changes, or in other words, its plasticity.

The makeup and functioning of this tissue changes in response to weight fluctuations and aging. As fat declines in plasticity due to aging and obesity, it loses its ability to respond to bodily cues. In the current model of this phenomenon, the rapid growth of adipose tissue outpaces its blood supply, depriving the fat cells of oxygen and causing the accumulation of cells that no longer divide. This leads to insulin resistance, inflammation, and cell death accompanied by the uncontrolled spill of lipids from these cells.