While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

The least absolute shrinkage and selection operator-logistic regression (Lasso-LR) model is optimal for predicting ...

There was a decline in hospitalizations and in-hospital mortality due to COVID-19 between 2023 and 2024, a period spanning the XBB, JN.1, and KP eras.

This valuable study investigates how stochastic and deterministic factors are integrated during cellular decision-making, particularly in situations where cells differentiate into distinct fates ...

In vivo platelet activation and related pathways may be linked to small airways disease and pulmonary vascular changes in smokers.

A novel study reveals a significantly higher concentration of recreational (nonmedical) cannabis retailers in ...

Exposure to antibiotics following FMT may lead to recurrent CDI, suggesting the need for modified strategies to prevent recurrent CDI in some patients.

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the ...

Imagine cells navigating through a complex maze, guided by chemical signals and the physical landscape of their environment.

Rigorous study design and analytical standards are required to generate reliable findings in healthcare from artificial intelligence (AI) research. One crucial but often overlooked aspect is the ...

Introduction Bangladesh’s cigarette smoking prevalence remained unchanged (around 14%) between 2009 and 2017. Through tax ...

Discover how to prepare for a career in data science with key skills, trends, and strategies tailored for 2025 and beyond.