Survival analysis anticipates the expected lifespans of individuals as well as the timing of other events. Learn about its pros and cons.

Combine AI-generated tests with intelligent test selection to manage large regression suites and speed up feedback ...

Background Cardiovascular disease (CVD) is the leading cause of mortality worldwide, while depression is highly prevalent in this patient population and has long been regarded as an independent risk ...

Missing data present a perennial challenge in scientific research, potentially undermining the validity of conclusions if not addressed rigorously. The analysis of missing data encompasses a broad ...

When you compare the Labour vote share in the 58 byelections held between 2010 and 2025 and the Labour vote in the previous ...

Introduction Previous reviews have investigated the relationship between empathy and burnout. However, these are now out of date, did not capture the effect of the pandemic, did not include healthcare ...

In the study Making It Look Green: Big Data Analytics, External Pressure, and Corporate Greenwashing, published in the journal Sustainability, researchers find that firms with stronger big data ...

Arousal fluctuates continuously during wakefulness, yet how these moment-to-moment variations shape large-scale functional connectivity (FC) remains unclear. Here, we combined 7T fMRI with concurrent ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

Early European hunter-gatherers developed a sophisticated method of information storage long before the advent of formal ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...