Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between ...

In today's data-rich environment, business are always looking for a way to capitalize on available data for new insights and ...

Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...

This important study used five metrics to compare the cost-effectiveness of intramural and extramural research funded by the National Institutes of Health in the United States between 2009 and 2019.

Aims To assess cytokine levels in peripheral blood and tears of patients after allogeneic haematopoietic stem cell ...

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...

LCGC International provides separation science insights, including liquid chromatography (HPLC), gas chromatography (GC), and ...

Objective To develop and validate a novel risk prediction model for incident major adverse liver outcomes (MALO) in a primary care setting. Design Population based cohort study. Setting Sweden, with ...

Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge and understanding?

This pilot study found that urinary metabolites of organophosphate pesticides were linked to reduced sperm motility in ...

pandas is a Python module that's popular in data science and data analysis. It's offers a way to organize data into ...

Li, Y. and Liu, J. (2025) An Accessible Predictive Model for Alzheimer’s Disease Based on Cognitive and Neuropathological ...