The research, titled AI-Driven Hybrid Deep Learning and Swarm Intelligence for Predictive Maintenance of Smart Manufacturing Robots in Industry 4.0 and published in Electronics, introduces an AI ...

The biopharmaceutical sector is transitioning from reactive off-line quality control to a proactive quality by design (QbD) framework. Process analytical technology (PAT) enables this shift through ...

Background Patients with heart failure (HF) and severe mitral regurgitation (MR) have poor outcomes. Early identification ...

Toward a Further Understanding of Suicide Risk from a Mindset Framework among Older Adults. Psychology, 17, 126-137. doi: ...

Early sexual activity, often defined as initiation before 16, is a risky behaviour associated with many negative social and health outcomes. Sexual norms restricting sex till marriage have declined in ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Objectives To examine the associations between the inflammatory potentials of diet and lifestyle, as measured by the Dietary Inflammation Score (DIS) and Lifestyle Inflammation Score (LIS), with the ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

There is an emerging convergence between atherosclerotic cardiovascular disease and cancer, driven by shared risk factors and overlapping pathophysiologic mechanisms. Traditional factors, such as ...

China: Researchers from China have reported that specific urinary stress hormones and their metabolites may serve as useful ...

Introduction Ensuring free access to essential medicines is a cornerstone of universal health coverage, yet many countries ...

Intrinsic neural attractors and extrinsic environmental inputs jointly steer the dynamic trajectories of brain activity ...