An AI-powered neural network, or deep machine learning model, may be as effective as catheterization at monitoring heart health, according to a study published Jan. 7 in Communications Medicine .

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 ...

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 ...

Heart disease remains the leading cause of death in the United States, according to a new report. The American Heart Association (AHA) report, published Monday in the journal Circulation, found that ...