Researchers sought to determine an effective approach to predict postembolization fever in patients undergoing TACE.

This paper presents a novel framework for optimizing Carbon Release (CR) through an AI-driven approach to Fossil Fuel Intake (FFI) management. We propose a new training methodology for AI models to ...

According to A Survey of AI-Enabled Predictive Maintenance for Railway Infrastructure: Models, Data Sources, and Research Challenges, published in Sensors, AI-based predictive maintenance systems ...

Artificial intelligence (AI) and machine learning (ML) hold significant promise in advancing the field of toxicology by ...

Probability-based forecasts can better inform weather-based decision-making, according to new Met Office research.

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...

Global AI in Epidemiology Market size is expected to be worth around USD 6,041.0 million by 2033 from USD 549.1 million in 2023.

Water is made of hydrogen and oxygen, and sometimes these atoms are slightly heavier than usual. These heavier forms are ...

GenAI and predictive AI battle for resources, but even as the overwhelming attention focuses on genAI, enterprises are still ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

A fundamental divide between data engineering and business analytics complicates how organizations operate in a rapidly evolving digital environment. Enterprises manage unprecedented volumes of ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...