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

Researchers developed and validated ElasticNet machine learning models that predict 12-month MMSE and BADL outcomes in ...

Researchers have developed an advanced artificial intelligence (AI) framework designed to significantly improve the forecasting of carbon dioxide emissions in the aviation sector. ACGRIME is an ...

Moving the four-time Gold Glove winner to center opens corner outfield spots and reshapes Cleveland's entire offensive lineup.

However, inconsistent travel times and unpredictable congestion continue to undermine service reliability, particularly in ...

As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...

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

To build it, Allen did something almost heretical for a manufacturing company: he scaled up its software creation. John Deere ...

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 ...

Artificial intelligence tools are increasingly being developed to predict cancer biology directly from microscope images, ...

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

Public debate about artificial intelligence in higher education has largely orbited a familiar worry: cheating. Will students use chatbots to write essays? Can instructors tell? Should universities ...