Innovative machine learning models using routine clinical data offer superior stroke risk prediction in atrial fibrillation, ...

Prediction-powered inference integrates a small gold-standard dataset with a large auxiliary dataset informed by machine learning predictions to enhance statistical inference. In modern applications, ...

Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...

Built on a new architecture KumoRFM-2 achieves state-of-the-art results across 41 predictive tasks and four major benchmarks, ...

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

IPDsim: An interpretable model to assess individual clinical antagonism in combination therapies for cancers. Model performance across development and validation cohorts.

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the ...

New AGI lab aims to revolutionize machine learning with symbolic models, moving beyond traditional deep learning.