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There is a SIRT6 activator on the market but it is very expensive at a few hundred dollars.

We have had requests for a summary of the interview with Prof Cohen. This video is a summary of the key points from the interviews. As I note in the introduction, this is my interpretation of what Prof Cohen said, please check the original interviews if you have any questions. And please do feel free to let me know if you think I got something wrong!

Professor Haim Cohen is the director of the Sagol Healthy Human Longevity Center at Bar-Ilan University where he focuses much of his research on the SIRT6 protein. In May 2021 he and his team published a paper showing a 30% increase in lifespan in a mouse model by over expressing SIRT6.

Prof Cohen’s page at the university.
https://life-sciences.biu.ac.il/en/node/641
Prof Cohen’s Lab.
https://www.haimcohenlab.com/

Prof Cohen’s Paper on Sirt6 is here.

Continue reading “Sirtuin 6 : Summary Of Key Points of Professor Cohen Interview | Modern Healthspan” | >

It is vital to recognize the immediate economic importance of i nvesting in longevity and healthy-aging sciences.

Aging itself is a complex series of at least 300 biological processes involving more than 10% of our genetic makeup. It follows that methods to combat these effects must be a combination of sciences, from biotech to biophysics and pharmaceuticals. There is no single “silver bullet” solution.

Aging, along with the physical and mental decay that accompanies it, is still widely regarded as a natural and inevitable thing. It is not, it is a degenerative disease in which the physical integrity and structure of our cells decay each time they divide to replace old ones or as part of any healing process.

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Less than a millionth of a billionth of a second long, attosecond X-ray pulses allow researchers to peer deep inside molecules and follow electrons as they zip around and ultimately initiate chemical reactions.

Scientists at the Department of Energy’s SLAC National Accelerator Laboratory devised a method to generate X-ray laser bursts lasting hundreds of attoseconds (or billionths of a billionth of a second) in 2018. This technique, known as X-ray laser-enhanced attosecond pulse generation (XLEAP), enables researchers to investigate how electrons racing about molecules initiate key processes in biology, chemistry, materials science, and other fields.

“Electron motion is an important process by which nature can move energy around,” says SLAC scientist James Cryan. “A charge is created in one part of a molecule and it transfers to another part of the molecule, potentially kicking off a chemical reaction. It’s an important piece of the puzzle when you start to think about photovoltaic devices for artificial photosynthesis, or charge transfer inside a molecule.”

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The BA.2 omicron subvariant still remains the dominant COVID strain across the U.S., but another subvariant has gained momentum in recent days.

BA.2.12.1, which health officials say appears to be up to 27% more contagious than BA.2, accounts for approximately 36.5% of cases nationwide, according to the most recent CDC weekly numbers.

While BA.2 accounts for approximately 75% of all cases in the country, it is said to make up at least 70% of the cases in the healthcare region encompassing New York, New Jersey, Puerto Rico and the Virgin Islands.

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Scientists have given a fascinating new insight into the next steps to develop fast, energy-efficient, future computing systems that use light instead of electrons to process and store information—incorporating hardware inspired directly by the functioning of the human brain.

A team of scientists, including Professor C. David Wright from the University of Exeter, has explored the future potential for computer systems by using photonics in place of conventional electronics.

The article is published today (January 29th 2021) in the prestigious journal Nature Photonics.

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Researchers have shown it is possible to perform artificial intelligence using tiny nanomagnets that interact like neurons in the brain.

The new method, developed by a team led by Imperial College London researchers, could slash the of (AI), which is currently doubling globally every 3.5 months.

In a paper published today in Nature Nanotechnology, the international team have produced the first proof that networks of nanomagnets can be used to perform AI-like processing. The researchers showed nanomagnets can be used for ‘time-series prediction’ tasks, such as predicting and regulating insulin levels in .

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Unhackneyed compartmentalization generated by audible sound allows the enzyme reactions to be controlled spatiotemporally.

Spatiotemporal regulation of multistep enzyme reactions through compartmentalization is essential in studies that mimic natural systems such as cells and organelles. Until now, scientists have used liposomes, vesicles, or polymersomes to physically separate the different enzymes in compartments, which function as ‘artificial organelles’. But now, a team of researchers led by Director KIM Kimoon at the Center for Self-assembly and Complexity within the Institute for Basic Science in Pohang, South Korea successfully demonstrated the same spatiotemporal regulation of chemical reactions by only using audible sound, which is completely different from the previous methods mentioned above.

Although sound has been widely used in physics, materials science, and other fields, it has rarely been used in chemistry. In particular, audible sound (in the range of 20–20,000 Hz) has not been used in chemical reactions so far because of its low energy. However, for the first time, the same group from the IBS had previously successfully demonstrated the spatiotemporal regulation of chemical reactions through a selective dissolution of atmospheric gases via standing waves generated by audible sound back in 2020.

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A swarm of 10 bright blue drones lifts off in a bamboo forest in China, then swerves its way between cluttered branches, bushes and over uneven ground as it autonomously navigates the best flight path through the woods.

The experiment, led by scientists at Zhejiang University, evokes scenes from —and the authors in fact cite films such as “Star Wars,” “Prometheus” and “Blade Runner 2049” in the opening of their paper published Wednesday in the journal Science Robotics.

“Here, we take a step forward (to) such a future,” wrote the team, led by Xin Zhou.

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