CT is one of the most widely used diagnostic imaging tools, but accurately estimating patient radiation dose remains ...

A research team led by Professor Kanghyun Nam from the Department of Robotics and Mechanical Engineering at DGIST has developed a physical AI-based vehicle state estimation technology that accurately ...

A new study maps locations of Chinese tombs, revealing over 4,000 years of power and wealth in early human societies.

The group created a physical AI-based vehicle state estimation system designed to track how electric vehicles behave in real ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen content without relying on labor-intensive field measurements.

Thermal imaging and AI may change how ranchers check cattle health by estimating body temperature without physical contact.

Objectives In patients with chronic obstructive pulmonary disease (COPD), severe exacerbations (ECOPDs) impose significant morbidity and mortality. Current guidelines emphasise using ECOPD history to ...

Objective: To understand patient portal engagement stratified by patient characteristics among adults 50 years and older with at least 1 common chronic medical condition using electronic health ...

Machine learning models reveal that histone marks are predictive of gene expression across human cell types and highlight important nuances between natural control and the effects of CRISPR-Cas9-based ...

Background Prehospital delays remain critical barriers to timely acute coronary syndrome (ACS) care, particularly for ...

A new research paper was published in Volume 17, Issue 11 of Aging-US on November 26, 2025, titled “Epigenetic aging ...

This study quantitatively investigates the relationship between the implementation of waste-to-resource systems and the ...