A machine learning-driven framework accurately predicts MPA exposure and supports individualized dosing in childhood-onset LN.

CLEVELAND, Ohio — When a veteran beat reporter who has covered a team for decades tells you to stop reading the press conference spin and pay attention to what’s actually happening on the field — you ...

Background Preprocedural risk prediction of 30-day all-cause mortality after percutaneous coronary intervention (PCI) aids in clinical decision-making and benchmarking hospital performance. This study ...

Background Remission and low-disease activity are recommended targets in systemic lupus erythematosus (SLE), yet many ...

Artificial intelligence now plays Go, paints pictures, and even converses like a human. However, there remains a decisive difference: AI requires far more electricity than the human brain to operate.

For years, the guiding assumption of artificial intelligence has been simple: an AI is only as good as the data it has seen. Feed it more, train it longer, and it performs better. Feed it less, and it ...

To enable more accurate estimation of connectivity, we propose a data-driven and theoretically grounded framework for optimally designing perturbation inputs, based on formulating the neural model as ...

Emmanuel Macron described US and Israeli strikes against Iran as illegal, setting France on a collision course with Donald ...

This study presents valuable findings for identifying biotypes of depression patients using white matter measures, which are under-utilised and under-appreciated in current biological and ...

One of the most deadly and dangerous volcano hazards isn’t lava. Mudflows called lahars can come without clear warning.