To develop a machine learning (ML) algorithm to predict survival probabilities for patients with epithelial ovarian cancer (EOC).Data were obtained from the SEER database for women diagnosed with EOC ...

AI-enabled ECG biological age (ECG-BA) improves disease risk classification beyond chronological age, enhancing early ...

An international team of scientists has uncovered nearly a dozen genes linked to the buildup of calcium in coronary arteries, ...

Researchers have used AI to find adalimumab effective for iMCD, highlighting the potential of machine learning in discovering ...

After combing through 4,000 existing medications, an artificial intelligence tool helped uncover one that saved the life of a patient with idiopathic multicentric Castleman's disease (iMCD).

People's bodies can be old or young for their chronological age, depending, in part, on the amount and types of stressors ...

ML.NET is a cross-platform open-source machine learning (ML) framework for .NET ... ML.NET runs on Windows, Linux, and macOS using .NET Core, or Windows using .NET Framework. ML.NET also runs on ARM64 ...

Abstract: Parkinson’s Disease ... using an RFE with a Logistic Regression classifier and evaluates the feature significance in Parkinson’s disease prediction using eXplainable Artificial Intelligence.

New research from Tulane University has identified a unique genetic signature in bacteria that can predict their likelihood of developing antibiotic resistance, a finding that can help quickly ...

This study highlights the potential of saliva-based metabolomics and AI in prenatal diagnostics, improving detection rates ...