A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...

Background Anti-C1q autoantibodies can disrupt normal complement function, contributing to the formation of pathogenic immune ...

Objective To assess family caregiver burden and associated factors among caregivers of people with mental illness in Eastern Ethiopia. Design Cross-sectional study. Setting Three hospitals in Eastern ...

All of this feels perfectly logical when you’re dealing with a hypothetical lottery. But here’s the question: why does that ...

Kenya’s food markets are known for extreme volatility influenced by weather shocks, inflation, currency fluctuations, and ...

Objective Interstitial lung disease (ILD) represents the most common and severe organ manifestation observed in patients ...

Objective This systematic review and meta-analysis aims to estimate the prevalence of high blood pressure (BP) and ...

Background Smoke-free and aerosol-free households (SAFHs) reduce exposure to secondhand smoke and aerosol and support ...

Background Numerous studies have found associations between parental socio-economic position (SEP) and offspring asthma.

COVID-19 severity can be predicted by a model with 5 variables: respiratory rate, systolic blood pressure, plasma albumin, LDH, and CRP.