Discover how a simple metabolic marker, the TyG index, combined with obesity measures, can help predict and manage ... including multivariate logistic regression models, to explore associations ...

Results—A multiple regression model identified grade and previous injury ... there did not appear to be strong linear trends. Of the physical performance measures, the 30 m sprint from a standing ...

Objective Disease activity both between and within patients with SLE is highly variable, yet factors driving this variability remain unclear. This study aimed to identify predictors of variability in ...

In this study, we propose an innovative and efficient approach that harnesses hyperspectral imaging (HSI) technology and deep learning (DL) to predict ... squares regression (PLSR): In the realm of ...

Therefore, we should focus on monitoring pollutants in cold conditions and developing HFRS prediction ... non-linear relationships and is more versatile than traditional parametric models, which ...

Of these, 19 200 fundus images from 11 052 participants without prior medical history at the baseline examination were used to train and validate the DL model for age prediction ... regression models ...

For the last few months, quantum computing stocks have captured the attention of AI investors. Many quantum computing stocks have risen significantly in recent months, but I see one as the ...

We have researched and reviewed what is to come in 2025, here we will outline the predictions, ... [+] trends and outlooks shaping the family office sector in the coming year. Family offices ...

However, over the last few months an area known as quantum computing has emerged as the latest shiny object in the AI realm. Below, I'll explore how quantum computing stocks have been moving as of ...

We’ve got all the info and analysis you need to know ahead of the game, including the latest info on the how to catch tipoff, odds, recent team performance, player stats, and of course, our ...