Lifeboat Foundation

National clinical guidelines for the treatment of COVID-19 vary significantly around the world, with under-resourced countries the most likely to diverge from gold standard (World Health Organization; WHO) treatment recommendations, finds a comparative analysis published in the open access journal BMJ Global Health.

And nearly every national guideline recommends at least one treatment proven not to work, the analysis shows.

Significant variations in national COVID-19 treatment recommendations have been suspected since the advent of the pandemic, but these haven’t been formally quantified or studied in depth, note the researchers.

Healthy cells respond appropriately to changes in their environment. They do this by sensing what’s happening outside and relaying a command to the precise biomolecule in the precise domain that can carry out the necessary response.

Granular materials, those made up of individual pieces, whether grains of sand or coffee beans or pebbles, are the most abundant form of solid matter on Earth. The way these materials move and react to external forces can determine when landslides or earthquakes happen, as well as more mundane events such as how cereal gets clogged coming out of the box.

Yet, analyzing the way these flow events take place and what determines their outcomes has been a real challenge, and most research has been confined to two-dimensional experiments that don’t reveal the full picture of how these materials behave.

Now, researchers at MIT have developed a method that allows for detailed 3D experiments that can reveal exactly how forces are transmitted through granular materials, and how the shapes of the grains can dramatically change the outcomes. The new work may lead to better ways of understanding how landslides are triggered, as well as how to control the flow of granular materials in industrial processes. The findings are described in the journal PNAS in a paper by MIT professor of civil and environmental engineering Ruben Juanes and Wei Li SM ’14, PhD ’19, who is now on the faculty at Stony Brook University.

Rice University engineers have developed the smallest implantable brain stimulator demonstrated in a human patient. Thanks to pioneering magnetoelectric power transfer technology, the pea-sized device developed in the Rice lab of Jacob Robinson in collaboration with Motif Neurotech and clinicians Dr. Sameer Sheth and Dr. Sunil Sheth can be powered wirelessly via an external transmitter and used to stimulate the brain through the dura ⎯ the protective membrane attached to the bottom of the skull.

The device, known as the Digitally programmable Over-brain Therapeutic (DOT), could revolutionize treatment for drug-resistant depression and other psychiatric or neurological disorders by providing a therapeutic alternative that offers greater patient autonomy and accessibility than current neurostimulation-based therapies and is less invasive than other brain-computer interfaces (BCIs).

Using AI and ALMA data, scientists create a groundbreaking 3D video of flares around our galaxy’s central black hole, offering new insights into its dynamic environment.

Scientists believe the environment immediately surrounding a black hole is tumultuous, featuring hot magnetized gas that spirals in a disk at tremendous speeds and temperatures. Astronomical observations show that within such a disk, mysterious flares occur up to several times a day, temporarily brightening and then fading away. Now a team led by Caltech scientists has used telescope data and an artificial intelligence (AI) computer-vision technique to recover the first three-dimensional video showing what such flares could look like around Sagittarius A* (Sgr A*, pronounced sadge-ay-star), the supermassive black hole at the heart of our own Milky Way galaxy.

Continue reading “Peering Into the Abyss: AI and Physics Unite to Unveil a Black Hole Flare in 3D” »

Advances in gene sequencing technology and computing power have significantly increased the availability of bioinformatic data and processing capabilities. This convergence provides an ideal opportunity for artificial intelligence (AI) to develop methods to control cellular behavior.

In a new study, Northwestern University researchers have reaped fruit from this nexus by developing an AI-powered transfer learning approach that repurposes publicly available data to predict combinations of gene perturbations that can transform cell type or restore diseased cells to health.

The study was recently published in the Proceedings of the National Academy of Sciences.

Learning results in persistent double-stranded DNA breaks, nuclear rupture and release of DNA fragments and histones within hippocampal CA1 neurons that, following TLR9-mediated DNA damage repair, results in their recruitment to memory circuits.

Serious wine drinkers often have their preferences: Some prefer sweet hints of chocolate in a Malbec from Argentina, while others are drawn to a spicy and fruity Cabernet Sauvignon from Napa Valley. Wine connoisseurs firmly believe that the soil in which grapes are grown determines how it tastes.

A new video of researchers communicating with a humpback whale in Alaska over 20 minutes. The researchers hope the breakthrough could lead to communication with aliens.