The AI’s learned behavior shows a clear preference for high-density, mixed-use development, increasing the spatial clustering ...

Reduced costly care: Behavioral health–related emergency department visits and inpatient admissions decreased by 35% and 43%, respectively. Lower total medical costs: The intervention group saved ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

The authors provide a useful integrated analytical approach to investigating MASLD focused on diverse multiomic integration methods. The strength of evidence for this new resource is solid, as ...

Artificial intelligence is increasingly used to integrate and analyze multiple types of data formats, such as text, images, ...

This study presents a large, systematically curated catalog of non-canonical open reading frames (ncORFs) in human and mouse by reanalyzing nearly 400 Ribo-seq datasets using a standardized pipeline; ...

A research team at Kumamoto University (Japan) has unveiled a new mathematical framework that makes it possible to accurately model systems using multiple sensors that operate at different sensing ...

RFdiffusion2, RFdiffusion3, and Riff-Diff each solve different structural problems in computational enzyme design ...