A new study develops and validates a nomogram to predict the need for continuous renal replacement therapy (CRRT) in patients with acute kidney injury (AKI) after lung transplantation. By integrating ...

Trained on historical consumption data spanning a decade, the model demonstrated strong predictive performance. It achieved a training error of 0.182 and a forecasting accuracy of 95.2 percent, ...

Hypoglycemia is common after pheochromocytoma resection and is linked to poorer outcomes. A nomogram incorporating age, high ...

New research using AI-powered stacked ensemble models has improved accuracy in predicting NBA game results by combining multiple machine learning algorithms. These models not only forecast outcomes ...

NHANES biomonitoring (2003–2018) linked serum PFAS measures to self-reported physician-diagnosed NMSC using adjusted logistic ...

Centrilobular emphysema (CLE) is independently associated with the progression of coronary artery calcification (CAC) over time.

Researchers conducted a systematic review to assess the risk of bias and applicability of prediction models for fear of recurrence in patients with cancer.

New findings from a DETOUR2 substudy show that minimally invasive percutaneous transmural arterial bypass (PTAB) may offer a ...

A pain-informed model identified risk factors for clinically significant nausea in patients undergoing metabolic bariatric surgery.

Background The World Health Organization Surgical Safety Checklist (WHO-SSC) is a global tool designed to enhance teamwork ...

Kidney diseases develop slowly and may not produce any obvious symptoms for a long time. The body can compensate for them so ...

Objective Children and young people (CYP) with special educational needs (SENs) have an increased risk of psychopathology and ...