Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog – Page 589

Australian, American and British researchers conducted a prospective analysis of light levels in almost 89 thousand people and concluded that more light exposure at night and less during the day are associated with an increased risk of death from all causes.

Light enhances or disrupts circadian rhythms, depending on the timing of exposure. Circadian disruption contributes to poor health outcomes that increase mortality risk. Whether personal light exposure predicts mortality risk has not been established. We therefore investigated whether personal day and night light, and light patterns that disrupt circadian rhythms, predicted mortality risk. UK Biobank participants (N = 88,905, 62.4 ± 7.8 y, 57% female) wore light sensors for 1 wk. Day and night light exposures were defined by factor analysis of 24-h light profiles. A computational model of the human circadian pacemaker was applied to model circadian amplitude and phase from light data. Cause-specific mortality was recorded in 3,750 participants across a mean (±SD) follow-up period of 8.0 ± 1.0 y.

Read more | >

It’s easy to marvel at the technical wizardry behind breakthroughs such as AlphaFold.

Pioneering crystallographer Helen Berman helped to set up the massive collection of protein structures that underpins the Nobel-prize-winning tool’s success.

Read more | >

Boston Dynamics and Toyota Research Institute (TRI) Wednesday revealed plans to bring AI-based robotic intelligence to the electric Atlas humanoid robot. The collaboration will leverage the work that TRI has done around large behavior models (LBMs), which operate along similar lines as the more familiar large language models (LLMs) behind platforms like ChatGPT.

Last September, TechCrunch paid a visit to TRI’s Bay Area campus for a closer look at the institute’s work on robot learning. In research revealed at last year’s Disrupt conference, institute head Gill Pratt explained how the lab has been able to get robots to 90% accuracy when performing household tasks like flipping pancakes through overnight training.

“In machine learning, up until quite recently there was a tradeoff, where it works, but you need millions of training cases,” Pratt explained at the time. “When you’re doing physical things, you don’t have time for that many, and the machine will break down before you get to 10,000. Now it seems that we need dozens. The reason for the dozens is that we need to have some diversity in the training cases. But in some cases, it’s less.”

Read more | >

Would you like to see more applications for Neuralink in the future? Share your thoughts in the comments.

Elon Musk’s brain technology startup, Neuralink, reported that its implant is functioning well in a second trial patient, identified as Alex. This implant is designed to help paralyzed patients control digital devices through thought alone. Unlike the first patient, Noland Arbaugh, who experienced thread retraction issues post-surgery, Alex has not faced similar problems. Neuralink implemented new measures to prevent such complications, including reducing brain motion during surgery. Both patients have been able to use the implant to perform tasks like playing video games, browsing the internet, and even designing 3D objects.

Read more | >

A team of physicists from the universities of Amsterdam, Princeton and Oxford have shown that extremely light particles known as axions may occur in large clouds around neutron stars. These axions could form an explanation for the elusive dark matter that cosmologists search for—and moreover, they might not be too difficult to observe.

Read more | >

Women worldwide could see better treatment with new AI technology, which enables better detection of damaged cells and more precisely predicts the risk of getting breast cancer, shows new research from the University of Copenhagen.

Breast cancer is one of the most common types of cancer. In 2022, the disease caused 670,000 deaths worldwide. Now, a new study from the University of Copenhagen shows that AI can help women with improved treatment by scanning for irregular-looking cells to give better risk assessment.

The study, published in The Lancet Digital Health, found that the AI technology was far better at predicting the risk of cancer than current clinical benchmarks for breast cancer risk assessment.

Read more | >

Exposure to certain pollutants, like fine particles (PM2.5) and nitrogen oxides (NOx), during pregnancy and childhood is associated with differences in the microstructure of the brain´s white matter, and some of these effects persist throughout adolescence. These are the main conclusions of a study led by the Barcelona Institute for Global Health (ISGlobal), a centre supported by “la Caixa” Foundation. The findings, published in Environmental Research, highlight the importance of addressing air pollution as a public health issue, particularly for pregnant women and children.

An increasing amount of evidence suggests that air pollution affects neurodevelopment in children. Recent studies using imaging techniques have looked at the impact of air pollutants on the brain’s white matter, which plays a crucial role in connecting different brain regions. However, these studies were limited in that they only looked at one timepoint and did not follow the participants throughout childhood.

“Following participants throughout childhood and including two neuroimaging assessments for each child would shed new light on whether the effects of air pollution on white matter persist, attenuate, or worsen,” says ISGlobal researcher Mònica Guxens. And that is what she and her team did.

Read more | >