Lifeboat Foundation

Aubrey de Grey, Ph.D., Vice President of New Technology Discovery for AgeX Therapeutics, discusses how primitive organisms have better regenerative capacity than more complicated organisms such as humans. In humans, Dr. de Grey notes, our best regenerative abilities are at the embryonic stage. During the Embryonic Fetal Transition, out ability to regenerate plummets and continues to diminish as we age. Dr. de Grey discusses the role evolution plays in this and how scientists may be able to “revive” our regenerative power. This video is part of a series from AgeX on research into aging and human longevity. For more information on Agex Therapeutics, please visit http://www.agexinc.com.

Seeking Answers

It’s been almost a year and a half since I got the diagnosis.

Artificial intelligence (AI) has emerged as a powerful approach for integrated analysis of the rapidly growing volume of multi-omics data, including many research and clinical tasks such as prediction of disease risk and identification of potential therapeutic targets. However, the potential for AI to facilitate the identification of factors contributing to human exceptional health and life span and their translation into novel interventions for enhancing health and life span has not yet been realized. As researchers on aging acquire large scale data both in human cohorts and model organisms, emerging opportunities exist for the application of AI approaches to untangle the complex physiologic process(es) that modulate health and life span. It is expected that efficient and novel data mining tools that could unravel molecular mechanisms and causal pathways associated with exceptional health and life span could accelerate the discovery of novel therapeutics for healthy aging. Keeping this in mind, the National Institute on Aging (NIA) convened an interdisciplinary workshop titled “Contributions of Artificial Intelligence to Research on Determinants and Modulation of Health Span and Life Span” in August 2018. The workshop involved experts in the fields of aging, comparative biology, cardiology, cancer, and computational science/AI who brainstormed ideas on how AI can be leveraged for the analyses of large-scale data sets from human epidemiological studies and animal/model organisms to close the current knowledge gaps in processes that drive exceptional life and health span. This report summarizes the discussions and recommendations from the workshop on future application of AI approaches to advance our understanding of human health and life span.

Aging is often described as the outcome of interactions among genetic, environmental and lifestyle factors with wide variation in life and health span between and within species (Newman and Murabito, 2013; Partridge et al., 2018; Singh et al., 2019). Exceptional life and health span represents an extreme phenotype characterized by exceptional survival (well-beyond average life expectancy), delayed onset of age-related diseases (before 80 years of age) (Pignolo, 2019) and/or preservation of good health/function relative to their peers (Perls et al., 2000, 2002; Kaeberlein, 2018). The identification of SNP associations with exceptional life and health span is a starting point for identifying targets for interventions that could potentially promote healthy human aging.

Two independent research teams recently published studies indicating they’ve successfully teleported a qutrit — possibly within days of each other. Now, both await the scientific process of peer review to see which will ultimately get credit for being the first humans to do so.

But what’s a qutrit? It’s a lot like a qubit, an entangled pair of particles used to carry information in a quantum computing system. Qubits are analogous to bits, the binary units of information used by classical computers like the one you’re reading this on. Where bits can be represented by the numbers zero and one, qubits can be zero, one, or both at the same time. Trits, used in classical ternary systems, add a two into the mix. And qutrits are the quantum version of trits, capable of carrying more information than their qubit counterparts.

This article appears in Weekly Health Page July 31.

Researchers found that more than four out of five Ohio women who had been physically abused by their partners had suffered a head injury. A study that found domestic violence survivors had sustained staggering rates of head trauma and violent choking incidents suggests that many are left with ongoing health problems from “invisible injuries” to the brain.

But the effects of such injuries often go unrecognized by advocates, health care providers, law enforcement — even the victims themselves, researchers said.

Take an asteroid, give it swinging arms and turn it into a rocky jellyfish swimming through space. Project RAMA from @MadeInSpace can solve most of the problems associated with asteroid mining all in one go. https://www.nasa.gov/sites/default/files/atoms/files/niac_20…tagged.pdf

Living healthier and longer can depend on probiotics more than we ever thought.

The bacteria in our gut make thousands of tiny, previously unidentified proteins that could shed light on human health and advance drug development, Stanford researchers have found.

NASA wants to send astronauts back to the moon by 2024. What if we stayed and settled on the Moon this time?

The total computing power now dedicated to securing the bitcoin blockchain has set yet another record.

According to data from mining services operator BTC.com, the average bitcoin mining hash rate over the last two weeks has reached71.43 quintillion hashes per second (EH/s), up from 64.49EH/s on July 23. The threshold was breached as bitcoin adjusted its mining difficultyat block height 586,672 on Monday 2:52 UTC – that is a 6.94EH/s, or10.78 percent jump since mid July.

Bitcoin mining difficulty is a measure of how hard it is to compete for mining rewards on bitcoin. Just how difficult the bitcoin software makes it to generate new blocks adjusts every 2,016 blocks – approximately every 14 days – to ensure the block production time remains about 10 minutes at the next cycle.