Lifeboat Foundation

LONDON — Alphabet-owned DeepMind has developed a piece of artificial intelligence software that can accurately predict the structure that proteins will fold into in a matter of days, solving a 50-year-old “grand challenge” that could pave the way for better understanding of diseases and drug discovery.

Every living cell has thousands of different proteins inside that keep it alive and well. Predicting the shape that a protein will fold into is important because it determines their function and nearly all diseases, including cancer and dementia, are related to how proteins function.

“Proteins are the most beautiful, gorgeous structures and the ability to predict exactly how they fold up is really very, very challenging and has occupied many people over many years,” Professor Dame Janet Thornton from the European Bioinformatics Institute told journalists on a call.

Researchers at DeepMind say they have solved “the protein folding problem,” a task that has bedeviled scientists for more than 50 years.

If I was a billionaire, I’d want to keep the profits flowing…

This chart shows the change in wealth of U.S. billionaires since the start of the pandemic.

Video. Well, at least the planet/environment benefits somewhat from what’s currently happening.

Maybe we can continue the good while overcoming the bad?

Pandemic restrictions reduced global nitrogen dioxide concentrations by nearly 20%, NASA finds.

The Army Research Office has pledged $6.25 million towards developing mindreading technology for use on the battlefield.

A Singaporean mom who beat COVID-19 while pregnant has given birth to a baby with antibodies against the virus, according to a report.

Celine Ng-Chang, 31, gave birth this month to the baby boy, who tested negative for the virus but did have the antibodies, the Straits Times reported.

“My doctor suspects I have transferred my COVID-19 antibodies to him during my pregnancy,” she told the newspaper.

Scientists at Osaka University develop a label-free method for identifying respiratory viruses based on changes in electrical current when they pass through silicon nanopores, which may lead to new rapid COVID-19 tests.

The ongoing global pandemic has created an urgent need for rapid tests that can diagnose the presence of the SARS-CoV-2 virus, the pathogen that causes COVID-19, and distinguish it from other respiratory viruses. Now, researchers from Japan have demonstrated a new system for single-virion identification of common respiratory pathogens using a machine learning algorithm trained on changes in current across silicon nanopores. This work may lead to fast and accurate screening tests for diseases like COVID-19 and influenza.

In a study published this month in ACS Sensors scientists at Osaka University have introduced a new system using silicon nanopores sensitive enough to detect even a single virus particle when coupled with a machine learning algorithm.

Bringing back extinct animals by cloning through ancient DNA is the dream of many – from conservationists to Spielberg – but it has not come to fruition yet. However, we may be a step closer thanks to an incredible discovery made in Siberia.

Scientists have reportedly managed to extract liquid blood from the mummified remains of a 42,000-year-old extinct baby horse.

In August last year, the perfectly preserved remains of the young male foal were discovered in the Batagaika crater in Yakutia, northern Russia.

This bionic contact lens doubles as a display.

Credit: UWTV.