General practice in the UK has undergone significant digital transformation, with cloud-based EHR systems replacing legacy on ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...

MASLD is prevalent in T2DM patients, with a 65% occurrence rate, and poses a higher risk for severe liver diseases. The study analyzed 3,836 T2DM patients, identifying key predictors like BMI, ...

Initiative spans an IVD assay and a new Revvity Omics lab-developed test to expand clinical testing for early-stage disease screening T1D is a lifelong, progressive autoimmune condition that occurs ...

Abstract: The rapid growth of Internet of Things (IoT) devices increases their vulnerability to attacks, necessitating stronger security measures. The machine learning technique is one of the most ...

ABSTRACT: The recent surge in demand for timely and accurate health information has highlighted the need for more advanced data analysis tools. To reduce the incidence of preventable medical errors, ...

Objective: To develop a self-reportable risk assessment tool for elderly type 2 diabetes mellitus (T2DM) patients, evaluating risks of diabetic nephropathy (DN), retinopathy (DR), peripheral ...

Aim: We aimed to develop and internally validate a machine learning (ML)-based model for the prediction of the risk of type 2 diabetes mellitus (T2DM) in children with obesity. Methods: In total, 292 ...