A research team demonstrates that hyperspectral sensing, combined with advanced artificial intelligence, can accurately estimate multiple biochemical and mineral traits in grapevine leaves at once.
The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...
CT is one of the most widely used diagnostic imaging tools, but accurately estimating patient radiation dose remains ...
Physical attacks targeting cryptocurrency holders are becoming more frequent and increasingly severe, according to a new ...
Explore how nanotechnology acts as the 'Convergence Engine' for AI materials discovery, CRISPR gene therapy delivery, and ...
Objective This study aimed to evaluate the prevalence and predictors of cardiovascular disease (CVD), chronic kidney disease ...
Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...
Objective To characterise the age-related impact of organ damage patterns on health-related quality of life (HRQoL) in ...
Objectives Although menstrual cups have a long history and numerous benefits, many women of reproductive age remain unaware. This study assessed the knowledge, attitude and use regarding menstrual ...
Gut microbiota profiles obtained at admission can predict postdischarge diabetes after acute pancreatitis with high accuracy, independent of disease severity. Microbiome characteristics at acute ...
That shift is where you feel why UX design strategy is important in practice: it forces every section to earn its space by ...
SB Nation on MSN
Conference preview: America East men’s basketball
Throw in his rock-solid perimeter defense (.65 ball-screen PPP allowed, 70th percentile; .69 spot-up PPP allowed, 81st ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback