Metabolic-associated steatotic liver disease (MASLD) is a clinically heterogeneous condition with highly variable outcomes ...

Researchers have trained an artificial intelligence model to extract warning signs of advanced heart failure from routine ...

Published in the journal Fire, the study titled “Artificial Intelligence for Geospatial Decision Support in Rural Wildfire Management: A Configurational Mapping Review” provides a systematic analysis ...

Studying endangered animal species without disturbing them and disrupting their natural habitat could be highly advantageous, ...

Stanford Medicine researchers have built CRISPR-GPT, a large language model designed to automate the full arc of gene-editing ...

People arrested while protesting ICE say federal agents took samples of their DNA. It's legal, but experts say the practice ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Dr. Phyllis Pobee, founder of GeneLean360° is part of a growing shift toward personalized ...

Abstract: This paper presents a novel approach to designing reconfigurable antenna using genetic algorithms (GAs) and accurate PIN diode modeling. The method integrates TRL calibration for precise ...

UK Home Office’s uses two algorithms for immigration purposes seemingly without sufficient safeguards to protect the right to privacy and meet data protection standards. Migrants appear to be subject ...

Analysis of Tumor Microenvironmental Features Between Primary and Synchronous Liver Metastases From Patients With Colorectal Cancers Using a Deep Learning Algorithm We identified a cohort of 1,201 ...

Abstract: Influence maximization is one of the important problems in network science, data mining, and social media analysis. It focuses on identifying the most influential individuals (or nodes) in a ...