An international group of quantum researchers demonstrated how machine learning may be used to filter a nearly endless number ...

Supervised machine learning improves predictions of compressive strength in industrial waste-modified concrete, supporting ...

The Decision & Action Layer translates fused predictions into concrete actions. The Decision Engine performs inference, ...

Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...

Background: Preoperative endometrial cancer (EC) diagnosis often depends on radiologists’ expertise, which introduces subjectivity. Recent studies have explored radiomics-based machine learning (ML) ...

Chiral 2D metal halide perovskites (MHPs) are among the most promising materials for future technologies that exploit the ...

The U.S. Virtual Machine Market is Anticipated to Touch $11.80 Billion by 2035, While Europe is Expected to Reach $9.63 Billion, Driven by Hybrid and Multi-Cloud Adoption, GDPR-Compliant Private Cloud ...

Managing a medical supply chain in low- and middle-income countries can mean navigating a landscape prone to extreme and ...

AI-901 covers the basics of machine learning, computer vision, natural language processing, and generative AI on Azure. It's ...

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

Abstract: Mental stress has become a social issue and could become a cause of functional disability during routine work. In addition, chronic stress could implicate several psychophysiological ...

Objective: In this study, we applied machine learning techniques to construct a medical database system from electronic medical records (EMRs) of subjects who have undergone health examination. This ...