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 ...

Add Zee News as a Preferred Source Having overlaid random forests and gradient boosting on a logistic regression meta-model, the group of Ravi could achieve the maximum accuracy rate and obtained 93% ...

Objectives There is a lack of knowledge about whether occupational exposures increase the risk of emphysema, especially in ...

Sepsis ranks among the deadliest illnesses a child can face. It’s an infection that spirals out of control, causing organ ...

Introduction Antimicrobial resistance (AMR) is a pressing global health problem disproportionately affecting low- and ...

The EnABLE Social Inclusion Framework for Results-Based Climate Finance Initiatives was devised as a key input into the Social Inclusion Strategy and Action Plan of the Enhancing Access to Benefits ...

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

Background Blood culture (BC) in children has relatively low diagnostic yield and high contamination rates, limiting ...

Researchers evaluated the impact of the timing of COVID-19 infection during pregnancy on both maternal illness severity and pregnancy outcomes.

The presence of long COVID symptoms after infection with SARS-CoV-2 is strongly associated with the development of ...

Objective This study aimed to determine the proportion of capacity challenges for refusal of care, the risk factors that may trigger challenges to capacity and to consider the implications of ...