In a mouse study, researchers used nanotechnology and previous knowledge of a protein pathway to significantly reduce knee cartilage degeneration and pain
A team of neuroscientists and engineers at McMaster University has created a nasal spray to deliver antipsychotic medication directly to the brain instead of having it pass through the body.
New research led by the University of Pittsburgh is poised to drastically improve the use of tracheal stents for children with airway obstruction. Researchers demonstrate for the first time the successful use of a completely biodegradable magnesium-alloy tracheal stent that safely degrades and does not require removal.
Researchers from Skoltech and the University of Texas Medical Branch (US) have shown how optoacoustics can be used for monitoring skin water content, a technique which is promising for medical applications such as tissue trauma management and in cosmetology.
Researchers at RIKEN, Japan successfully created a larger strain of zooplankton by creating mutations with a heavy ion beam, which contributes to improving the survival rate and growth of juvenile fish in aquaculture.
Some organisms evolve an internal switch that can remain hidden for generations until stress flicks it on.
Using data from RNA-folding experiments, the researchers generated the first-ever data-driven movies of how RNA folds as it is made by cellular machinery. By watching their videos of this folding occur, the researchers discovered that RNA often folds in surprising, perhaps unintuitive ways, such as tying itself into knots.
A team of biophysicists set out to tackle the long-standing question about the nature of force generation by myosin, the molecular motor responsible for muscle contraction. The key question they addressed - one of the most controversial topics in the field - was: how does myosin convert chemical energy, in the form of ATP, into mechanical work? The answer revealed new details into how myosin, the engine of muscle and related motor proteins, transduces energy.
In research published today in Integrative Biology, a team of engineers from Rensselaer developed an in vitro -- in the lab -- lymphatic vessel model to study the growth of tumor emboli, collections of tumor cells within vessels that are often associated with increased metastasis and tumor recurrence.
Compared to standard machine learning models, deep learning models are largely superior at discerning patterns and discriminative features in brain imaging, despite being more complex in their architecture.