New method using Raman spectroscopy and machine learning estimates organic maturity in rocks, crucial for oil exploration, ...

Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics ...

Two new studies from the Department of Computational Biomedicine at Cedars-Sinai are advancing what we know about using ...

Artificial Intelligence (AI) is transforming credit risk modeling by offering methods and tools that serve as a complement - or even an alternative - to ...

A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

The study highlights machine learning's role in predicting concrete strength with industrial waste, promoting low-carbon ...

Machine learning models showed strong predictive performance for 5-year survival in stage III colorectal cancer patients, with AUC values between 0.766 and 0.791. Key prognostic factors identified ...

New research reveals AI tsunami warning systems can improve accuracy if trained on real-world data, and equipped with good ...

Researchers integrated machine learning with multi-tiered validation to identify FDA-approved non-lipid-lowering drugs with lipid-modifying potential. From 3,430 drugs screened, 29 candidates emerged.

Findings from a new study published in Annals of Family Medicine show that a machine learning model accurately predicts ...

Researchers have found a way to make the chip design and manufacturing process much easier — by tapping into a hybrid blend ...

This study examined whether machine learning could predict the risk and contributing factors of no-shows and late ...