This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

While AI models may exhibit addiction-like behaviors, the technology is also proving to be a powerful ally in combating real ...

This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...

The new analysis study showed the delay may stem from genetic mutations that are present when a child is born – but activate ...

Objective This study aimed to evaluate the prevalence and predictors of cardiovascular disease (CVD), chronic kidney disease ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

As we have every year, we’ll check back at the end of 2026 and provide a report card on how we did, whether our accuracy ends ...

Background Axial spondyloarthritis (axSpA) impairs trunk strength, mobility and cardiorespiratory fitness. Despite exercise ...

Background Inflammatory bowel disease (IBD) patients in China exhibit critically low levels of physical activity, yet evidence for telemedicine-based aerobic exercise interventions remains scarce, ...

Only two men can tell us if Elon Musk and Trump are truly, as of December 2025, “friends.” But the formal definition I used ...

While most planets that we are familiar with stick relatively close to their host star in a predictable orbit, some planets ...

This finalizes our definition of adversarial location: the pitcher’s ability to locate pitches where a particular batter gets ...