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 ...
Retrospective analysis compares smooth and perforated polyetheretherketone implants, revealing trends in postoperative ...
Researchers have found in a cohort study that higher surgical risk was associated with greater severity and longer duration ...
Aims Heart failure (HF) often coexists with chronic kidney disease (CKD), impacting prognosis. This study aims to evaluate ...
Introduction Duplicate medical records occur when a single patient is assigned multiple medical record numbers within an ...
Background Patients with heart failure (HF) and severe mitral regurgitation (MR) have poor outcomes. Early identification ...
Background Physical activity has been associated with neuroprotective and immunomodulatory benefits, potentially influencing ...
Heart failure (HF) is a chronic and progressive cardiovascular condition associated with significant morbidity, mortality and ...
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 ...
The underlying cause of status epilepticus is strongly associated with the likelihood of neurologic recovery, but does not ...
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