Lifeboat Foundation

Researchers have designed a machine learning algorithm that predicts the outcome of chemical reactions with much higher accuracy than trained chemists and suggests ways to make complex molecules, removing a significant hurdle in drug discovery.

University of Cambridge researchers have shown that an algorithm can predict the outcomes of complex chemical reactions with over 90% accuracy, outperforming trained chemists. The algorithm also shows chemists how to make target compounds, providing the chemical “map” to the desired destination. The results are reported in two studies in the journals ACS Central Science and Chemical Communications.

A central challenge in drug discovery and materials science is finding ways to make complicated organic molecules by chemically joining together simpler building blocks. The problem is that those building blocks often react in unexpected ways.

Quantum many-body systems (QMBs), which are physical systems made up of multiple interacting particles, are among the most challenging structures to reproduce in numerical simulations. In the past, researchers have attempted to simulate these systems using a variety of techniques, including Monte Carlo simulations and even exact diagonalizations.

Methods involving tensor networks (TNs), mathematical concepts that can be applied in a variety of scientific fields, have also shown some potential for the simulation of QMBs. However, so far, these techniques have only been successfully applied to small systems or those with a simple geometry.

In a recent study, researchers at the University of Central Florida were able to simulate QMBs on Amazon Web Services using a TN-based method. Their paper, pre-published on arXiv, highlights some of the potential advantages and implications of using cloud services for research purposes.

On a cool, overcast morning in Kaohsiung City, Taiwan, a chunky and colorfully painted ferry waits at a dock as a stream of passengers clambers aboard. It’

Yesterday, the TRIIM study was described in science news headlines around the world, though, through a glitch, the original research paper is not yet on the Aging Cell web site. (You saw it first here.) I refer you to the writeup in Nature’s News section for a full summary of the paper, and in this column I will add my personal framing, and what I know about the study from private connection to its authors and one of the subjects. The big news is setback of the epigenetic clock, by several methylation measures. Instead of getting a year older during the trial, nine subjects got a year younger, on average, based on the version of the Horvath methylation clock that best predicts lifespan. The study had been originally designed to regrow the thymus. (Loss of thymus function has been linked to the collapse of the immune system that occurs typically before age 70.) Imaging showed that the functional part of the thymus expanded over the course of the trial, and blood tests confirmed improved immune function. The treatment included.

Most of “Greater Adria” is now trapped in Earth’s mantle, but some of its rocks ended up high in the Alps.

Go modular or even get an upgrade:

A team of researchers from Carnegie Mellon University just 3D printed functional components of the human heart — including small blood vessels and large beating ventricles.

“We now have the ability to build constructs that recapitulate key structural, mechanical, and biological properties of native tissues,” said Adam Feinberg, a professor at Carnegie Mellon and the co-founder of 3D printing company FluidForm, which built the tech the team used, in a statement.

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Em sua visita ao Brasil em junho de 2019, o cientista brit nico Aubrey de Grey lançou o livro “O fim do envelhecimento” e explicou as ideias centrais deste clássico da moderna ciência do rejuvenescimento.

Este é o vídeo completo do evento, tendo sido cortadas somente as traduções consecutivas feitas por Nicolas Chernavsky.

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Getting old is an unavoidable truth of life. And yet, for most of modern history this mortal coil has baffled scientists. Over the past decade, however, researchers have made great strides in understanding the cellular, molecular, and genetic tableau of aging—which has brought the next question into sharp focus: Can aging be stopped? While a full answer remains elusive, recent advancements have opened the door for significantly extending the human lifespan. One controversial researcher even claims that the first person who will live 1,000 years has already been born. Mainstream researchers are decidedly more cautious in their predictions, but the prospect of postponing mortality, even in modest ways, raises important ethical, social, and practical questions. How would we control an increasingly out-of-control global population? Does life have meaning without death? Even if we could live forever, would we want to?

The World Science Festival gathers great minds in science and the arts to produce live and digital content that allows a broad general audience to engage with scientific discoveries. Our mission is to cultivate a general public informed by science, inspired by its wonder, convinced of its value, and prepared to engage with its implications for the future.

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Tesla’s battery research group led by Jeff Dahn in Halifax has applied for a patent that describes a new battery cell chemistry that would result in faster charging and discharging, better longevity, and even lower cost.

Jeff Dahn is considered a pioneer in Li-ion battery cells. He has been working on the Li-ion batteries pretty much since they were invented. He is credited for helping increase the life cycle of the cells, which helped their commercialization. His work now focuses mainly on a potential increase in energy density and durability.

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