Cloud-based platform combines AI and machine learning to perform multivariate analysis, enabling real-time optimization of cell therapy performance and patient outcomes ...

Objectives We hypothesise that women with type 2 diabetes and hypertension are less likely than comparable men to receive renin–angiotensin system (RAS)-inhibiting antihypertensive treatment, ...

Introduction Caesarean section rates have increased globally, exceeding the WHO’s recommended threshold of 15%. Understanding ...

This Research Topic envisions the future of multivariate data analysis in Network Physiology and beyond through the lens of ...

Egyptian researchers mapped soil health using data analysis & mapping tools. They found most areas had good quality, but some ...

Background Left ventricular mass (LVM) is suggested to be a sensitive predictor of adverse cardiovascular outcomes, such as ...

Objective The development of myopia is subject to individual genetic predisposition and environmental risk exposures. This ...

If India ever hosted the Olympics for chaos, our roads would bring home gold, silver, bronze—and possibly create entirely new categories for “synchronized overtaking” and “decibel-based honking.” With ...

ABSTRACT: This study applies Principal Component Analysis (PCA) to evaluate and understand academic performance among final-year Civil Engineering students at Mbeya University of Science and ...

ABSTRACT: Community-based ecotourism (CBET) aims to empower local communities through engagement and participation. Cambodia serves as a prime example of a developing country where the local community ...

Recent advances in green chemistry have made multivariate experimental design popular in sample preparation development. This approach helps reduce the number of measurements and data for evaluation ...