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.

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.

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 ...

This global macroeconomic analysis estimates that diabetes mellitus will cost the world economy INT$10.2 trillion between ...

The orbitofrontal cortex (OFC) is critical to identifying task structure and to generalizing appropriately across task states with similar underlying or hidden causes. This capability is at the heart ...

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 ...

FORECAST.ETS applies an exponential triple smoothing (ETS) algorithm to create forecasts that can include trend and seasonal ...

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

Phase 3 SELVA study evaluating QTORIN™ rapamycin 3.9% anhydrous gel (QTORIN™ rapamycin) for microcystic lymphatic ...