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With psilocybin on the cusp of becoming a clinically validated and approved medicine, scientists are exploring new ways to produce the chemical without needing to grow magic mushrooms or relying on costly synthesis techniques. A team of Danish researchers has presented a novel method of producing the psychedelic chemical using common yeast.

“It’s infeasible and way too expensive to extract psilocybin from magic mushrooms and the best chemical synthesis methods require expensive and difficult-to-source starting substrates,” explains Nick Milne, an author on the new study published in the journal Metabolic Engineering. “Thus, there is a need to bring down the cost of production and to provide a more consistent supply chain.”

If psilocybin research continues down the path it is currently on, there will be a great need for large-scale production in the coming years. It is not commercially viable to extract the chemical from magic mushrooms, but as Milne and his team suggest in their study, current synthesis methods are not ideal either.

Much of the work undertaken by artificial intelligence involves a training process known as machine learning, where AI gets better at a task such as recognising a cat or mapping a route the more it does it. Now that same technique is being use to create new AI systems, without any human intervention.

For years, engineers at Google have been working on a freakishly smart machine learning system known as the AutoML system (or automatic machine learning system), which is already capable of creating AI that outperforms anything we’ve made.

Now, researchers have tweaked it to incorporate concepts of Darwinian evolution and shown it can build AI programs that continue to improve upon themselves faster than they would if humans were doing the coding.

Brain cells, wrote the Spanish neuroanatomist Santiago Ramón y Cajal in the late 19th century, “may die” and cannot “be regenerated.” Cajal then threw down the gauntlet, asserting that it was the job of the “science of the future to change, if possible, this harsh decree.” Jack Price’s engaging book The Future of Brain Repair details past, present, and future attempts to address Cajal’s formidable challenge. In so doing, it provides a vibrant and compelling guide to the important and rapidly evolving fields of stem cell–based therapies and brain repair, which together, he believes, are poised to deliver unprecedented changes to the management of brain diseases.

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“In corticospinal injuries using a mouse model, adult neurons begin a natural regeneration by revertiprocessng back to an embryonic state and that regeneration is sustained by a surprising gene.”

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When adult brain cells are injured, they revert to an embryonic state, according to new findings published in the April 15, 2020 issue of Nature by researchers at University of California San Diego School of Medicine, with colleagues elsewhere. The scientists report that in their newly adopted immature state, the cells become capable of re-growing new connections that, under the right conditions, can help to restore lost function.

Repairing damage to the brain and spinal cord may be medical science’s most daunting challenge. Until relatively recently, it seemed an impossible task. The new study lays out a “transcriptional roadmap of regeneration in the adult brain.”