For most animals, ageing is a one-way journey. In a recent PNAS publication, researchers Joan Soto-Angel and Pawel Burkhardt discovered that a species of comb jelly can reverse its life cycle, returning from adulthood to a larval stage.
Embracing the paradigm shift of agentic AI could lead to massive advancements in healthcare as we know it.
A recent study links satellite and brain imaging data to identify how environmental factors can impact mental health, cognition and brain development in young people.
The research, published in the journal Nature Mental Health, is part of a collaboration involving a team of university researchers from around the world led by experts in the tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS Center) based at Georgia State University and New Light Technologies.
The study, titled “Urban-Satellite Estimates in the ABCD Study: Linking Neuroimaging and Mental Health to Satellite Imagery Measurements of Macro Environmental Factors,” represents an advance in understanding how specific environmental conditions may impact the brains of young people.
The twin spacecraft of NASA’s TRACERS (Tandem Reconnection and Cusp Electrodynamics Reconnaissance Satellites) mission were recently completed, in preparation for launch in 2025.
Looking ahead to 2025, it’s time for organizations to put the right tools and processes in place to prepare for post-quantum cryptography.
A genomic test developed at UC San Francisco to rapidly detect almost any kind of pathogen—virus, bacteria, fungus or parasite—has proved successful after a decade of use.
The test has the potential to vastly improve care for neurological infections that cause diseases like meningitis and encephalitis, as well as speed up the detection of new viral pandemic threats. It uses a powerful genomic sequencing technique, called metagenomic next-generation sequencing (mNGS).
Rather than looking for one type of pathogen at a time, mNGS analyzes all the nucleic acids, RNA and DNA, that are present in a sample.
Being able to precisely manipulate interacting spins in quantum systems is of key importance for the development of reliable and highly performing quantum computers. This has proven to be particularly challenging for nanoscale systems with many spins that are based on quantum dots (i.e., tiny semiconductor devices).
