A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

Background Anti-C1q autoantibodies can disrupt normal complement function, contributing to the formation of pathogenic immune ...

Kenya’s food markets are known for extreme volatility influenced by weather shocks, inflation, currency fluctuations, and ...

Objective Interstitial lung disease (ILD) represents the most common and severe organ manifestation observed in patients ...

Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...

The results show that AI adoption leads to significant improvements in ESG scores, with an estimated positive effect of 3.3 ...

Background Numerous studies have found associations between parental socio-economic position (SEP) and offspring asthma.

Abstract: The increasing use of Artificial Intelligence (AI) in daily life has introduced substantial issues in protecting user privacy, particularly for young ...

Background: This study examines the effect of physical activity (PA) on life satisfaction (LS), focusing on the mediating role of psychological resilience (PR) and the moderating role of mindfulness ...

Despite hyping the product for a year and half, it is fairly clear that Tesla doesn’t want to sell its new cheaper Model Y. At least, in the US. Here’s why. Remember the Cybertruck RWD? Tesla launched ...