AIOps changes this by applying machine learning and advanced analytics. Consequently, the managed NOCs gain context, ...

Abstract: In the backdrop of an increasingly pressing need for effective urban and highway transportation systems, this work explores the synergy between model-based and learning-based strategies to ...

A research team has developed a new way to measure and predict how plant leaves scatter and reflect light, revealing that ...

Emotions are constructed, not discovered. Relational safety—not precise labels—allows the brain to tolerate uncertainty, ...

A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing high-volume liposuction, reports a study in the January issue of Plastic and ...

Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...

A new study published in Science Translational Medicine by researchers at The University of Texas MD Anderson Cancer Center ...

VONG has a strategy based on an earnings growth predictive model and historical sales growth. Click here for more information ...

This man believes auto insurance companies will soon use AI to track driving quality and reimagine the underwriting process, ...

A new study published today in Science Translational Medicine by researchers at The University of Texas MD Anderson Cancer Center details a therapeutic vulnerability in  patients with an aggressive ...

Objective Chronic kidney disease (CKD) arises due to uncontrolled hypertension (HTN). HTN significantly increases the risk of complications in vital organs, mainly the kidneys. If hypertensive ...

Healthcare AI moved beyond the pilot phase in 2025. From saving hundreds of lives to reducing costs by $20 million to more than $100 million annually, health systems started experiencing measurable ...