A tool called AI-Newton can derive scientific laws from raw data, but is some way from developing human-like reasoning.

This paper systematically analyzes the market dynamics of the pet industry in China and globally based on multiple linear regression and ARIMA models. First, for the Chinese market, this paper ...

Medical device makers use AI to turn EU regulatory challenges into competitive advantages via supply chain optimization.

This study presents valuable findings from a spatiotemporal analysis of arbovirus case notification data from 2013 to 2020 in Brazil, reporting associations between covariates representing potential ...

Background Although voting is recognised as a social determinant of health, the association between electoral participation ...

An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.

Introduction Timely detection, notification and response are critical for mitigating outbreak impact, yet evidence linking timeliness to public health outcomes is limited.Methods We hypothesised that ...

The reduction of health inequalities has been a priority of researchers, decision-makers and practitioners for many years.

NFL betting preview & predictions for Cardinals vs Cowboys by The Statinator. Data-backed breakdown of efficiency, red-zone trends, and model projections points to Dallas -2.5.

The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...

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 language for statistics, but the "Tidyverse" has given the language a serious ...

Background Anti-C1q autoantibodies can disrupt normal complement function, contributing to the formation of pathogenic immune complexes and end-organ damage. Although their role in SLE is ...