A machine learning model matched HVPG accuracy for predicting decompensation in advanced chronic liver disease, without invasive testing.

A proposed machine learning framework for metabolic dysfunction-associated steatotic liver disease may improve personalized risk prediction.

A machine-learning model developed by Weill Cornell Medicine investigators may provide clinicians with an early warning of a complication that can occur late in pregnancy. Preeclampsia is a sudden ...

An interpretable machine learning model predicted moderate to severe acute kidney injury risk in ICU patients with acute ...

Association of the 70-gene assay and homologous recombination deficiency in patients with high risk 2 breast cancers. Model performance by outcome and number of variables. a Concordance index; scores ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...

Predicting earthquakes has long been an unattainable fantasy. Factors like odd animal behaviors that have historically been thought to forebode earthquakes are not supported by empirical evidence. As ...

An explanation of what machine learning is for beginners. We will clearly introduce the differences between AI and deep learning, how it works, its types, and its relationship to the work of creators.

Praadhyumn Indaana has created a groundbreaking physics-guided neural network tailored for nuclear reactors. This ...

Learn how to find and make the best use of valuable insights buried in your company’s databases.