Elena Milova shares her #IAmTheLifespan story for Longevity Month. Tell us your story too!
https://www.leafscience.org/longevity-month-2017-tell-us-your-story/
Elena Milova shares her #IAmTheLifespan story for Longevity Month. Tell us your story too!
https://www.leafscience.org/longevity-month-2017-tell-us-your-story/
The first results of two human clinical trials using stem cell therapy for age-related frailty have been published, and the results are very impressive indeed. The studies show that the approach used is effective in tackling multiple key age-related factors.
Aging research has made significant progress in the last few years, with senescent cell clearing therapies entering human trials this year, DNA repair in human trials, and a number of other exciting therapies nearing human testing. We are reaching the point where therapies that target aging processes are no longer a matter of speculation; they are now an undeniable matter of fact.
Over the past few years, there has been a tradition of longevity researchers and activists around the world to organize events on or around October 1 — the UN International Day of Older Persons, or Longevity Day. In recent years this has been extended to include the entire month of November as a Longevity Month where activists organize various activities and events to raise awareness for aging research.
This year we have continued this tradition with the Longevity Month “I am the Lifespan” event, where people tell us their story and how they got interested in aging research and doing something about age-related diseases. and it has been a great success so far. Lots of people have sent in their stories and we have been publishing them on our Facebook page the last few weeks. We wanted to share some of these stories with you and a little about the people behind them.
Recently, we have explored the benefits that rejuvenation biotechnologies promise to bring to ourselves and the people close to us. I would imagine that most people have no difficulty acknowledging these benefits, but even so, many people tend to focus on potential large-scale downsides of rejuvenation while neglecting entirely its benefits on society at large.
The following is a brief discussion of how, in my opinion, anti-aging biotechnologies would positively impact the whole of humanity—assuming they were widely employed, as they should be.
Gennady Stolyarov shares his #IAmTheLifespan story for Longevity Month. Share your story too!
https://www.leafscience.org/longevity-month-2017-tell-us-your-story/
Robert C. W. Ettinger’s seminal work, The Prospect Of Immortality, detailed many of the scientific, moral, and economic implications of cryogenically freezing humans for later reanimation. It was after that book was published in 1962 that the idea of freezing one’s body after death began to take hold.
One of the most pressing questions is, even if we’re able to revive a person who has been cryogenically preserved, will the person’s memories and personality remain intact? Ettinger posits that long-term memory is stored in the brain as a long-lasting structural modification. Basically, those memories will remain, even if the brain’s “power is turned off”.
This infographic delves into the mechanics and feasibility of cryonics – a process that thousands of people are betting will give them a second shot at life.
Can the process of aging be delayed or even reversed? Research led by specially appointed Professor Jun-Ichi Hayashi from the University of Tsukuba in Japan has shown that, in human cell lines at least, it can. They also found that the regulation of two genes involved with the production of glycine, the smallest and simplest amino acid, is partly responsible for some of the characteristics of aging.
LEF has access to blood tests from its customers who take the product. That means data should be available in less than a year. If it works, we can expect other DNN-developed geroprotectors.
In 2011, scientists made one of the most important discoveries in the history of AI development. They found that graphics processing units (GPUs) are far better at simulating biological learning than central processing units (CPUs).