The notion that an AI system would be able to predict over a thousand diseases years before onset seems almost science ...

A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing ...

The strong role of socioeconomic factors underscores the limits of purely spatial or technical solutions. While predictive models can identify where risk concentrates, addressing why it does so ...

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

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 ...

Abstract: Robust model predictive control (MPC) algorithms are essential for addressing unavoidable errors due to the uncertainty in predicting real-world systems. However, the formulation of such ...

A newly developed artificial intelligence (AI) model is highly accurate in predicting blood loss in patients undergoing ...

A new model improves prediction of spontaneous stone passage using ultrasound and CT. Learn how it can guide conservative ...

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

This study examined the relationship between the Monetary Policy Rate (MPR) and inflation across five continents from 2014 to 2023 using both Frequentist and Bayesian Linear Mixed Models (LMM). It ...

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 ...

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 ...