A CpG-based methylation signature combined with ridge regression allows highly accurate multicancer classification in ...

This important study uses a tripartite transdiagnostic computational framework to distinguish depression-specific, anxiety-specific, and shared psychopathology dimensions, in their relationships to ...

This study presents valuable findings by reanalyzing previously published MEG and ECoG datasets to challenge the predictive nature of pre-onset neural encoding effects. The evidence supporting the ...

In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...

This writer used homebrew econometrics to advocate for a housing proposal in Pentagon City. Others with data analysis acumen can do this, too.

Background Native aortic valve endocarditis continues to present significant operative challenges, often complicated by heart ...

Is napping a sign of declining health? A new study uses objective wearable data to link morning naps and excessive daytime ...

Objective Cardiovascular diseases are a leading cause of morbidity and mortality in SLE. In this target population, ...

Researchers created a new questionnaire to measure major life changes linked to psychedelic use and found that most surveyed ...

To address the limitations of binary pCR classification, Pusztai and colleagues developed the residual cancer burden (RCB) ...

Background To investigate prevalence and risk factors of epiretinal membrane (ERM), particularly those associated with ERM ...

This study explores the performance of Business Intelligence Systems (BIS) across three main sectors—Finance, Technology, and ...