Methane is one of the most powerful greenhouse gases, yet quantifying its emissions remains difficult at large scales. A new framework, CH4Vision, addresses this problem by estimating methane flux ...

A machine learning model can predict hepatocellular carcinoma (HCC) risk using routinely available data, according to a study ...

The increasing global demand for sustainable energy and carbon materials, alongside pressing environmental concerns, ...

A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...

Researchers at the University of Hawaiʻi at Mānoa are using artificial intelligence and machine learning (AI/ML) to better understand what improves outcomes for individuals receiving treatment for ...

NEW YORK, NY, UNITED STATES, March 28, 2026 /EINPresswire.com/ -- As global financial systems grow increasingly complex ...

Sepsis is one of the most common and lethal syndromes encountered in intensive care units (ICUs), and acute respiratory ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results predicted a patient's risk of hepatocellular carcinoma (HCC), the most common ...

A machine learning model that analyzes patient demographics, electronic health record data, and routine blood test results ...

A new soil-moisture retrieval strategy has improved the accuracy of satellite-based moisture mapping by combining microwave ...

As agent hype fades, machine learning quietly proves it’s still essential.

Abstract: Analyzing the temperature evolution during the construction of mass concrete and establishing accurate prediction models are essential for ensuring structural quality and construction safety ...