Lifeboat Foundation

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.

Japan’s upcoming space-based solar power demonstration will beam power to Earth next year.

Our number-crunching suggests that their plight could be much worse than previously thought.

Generative A.I. technologies can write poetry and computer programs or create images of teddy bears and videos of cartoon characters that look like something from a Hollywood movie.

Now, new A.I. technology is generating blueprints for microscopic biological mechanisms that can edit your DNA, pointing to a future when scientists can battle illness and diseases with even greater precision and speed than they can today.

Paul Kempler runs a master’s program at the University of Oregon that provides hands-on electrochemistry training for those wanting to enter the field without them having to take a five-year-long PhD.

Using thin layers of chiral nematic liquid crystals, researchers have observed the formation dynamics of skyrmions.

A skyrmion is a topologically stable, vortex-like field configuration that cannot be smoothly morphed to a uniform state [1]. First proposed by physicist Tony Skyrme in 1961 as a model of the nucleon [2], the concept has since been studied in condensed-matter physics and adjacent fields [3]. In particular, skyrmions have cropped up in studies of magnetism [4], Bose-Einstein condensates [5], quantum Hall systems [6], liquid crystals [7], and in other contexts (see, for example, Viewpoint: Water Can Host Topological Waves and Synopsis: Skyrmions Made from Sound Waves). Skyrmions exhibit fascinating properties such as small size, stability, and controllability, which give them great potential for applications in spintronics, data storage, and quantum computing.