Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...

OpenEvidence has made its AI-integrated Doctor Dialer feature more widely available as it expands its reach into more clinical workflows. | With new features like a clinical AI assistant to transcribe ...

In a recent study published in Scientific Reports, researchers developed a machine learning-based heart disease prediction model (ML-HDPM) that uses various combinations of information and numerous ...

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Three hundred and ninety-eight patients with ctDNA data (206 in training and 192 in validation) were analyzed. Our models outperformed existing workflow using conventional temporal ctDNA features, ...

Slack is training its machine learning features on its users' data—and everyone's opted-in by default. Slack uses machine learning, a subfield of AI, to operate in-app features like channel ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Stephen is an author at Android Police who covers how-to guides, features, and in-depth explainers on various topics. He joined the team in late 2021, bringing his strong technical background in ...

Sony’s as-yet unannounced PS6 is expected to have at least 24GB RAM in order to accommodate new machine learning features, the tech wizards at Digital Foundry have estimated. Alex Batalia had the ...

The capabilities, currently in preview, will allow enterprises to run machine learning on shared data while collaborating with partners and maintaining data privacy and security. AWS is planning to ...