Abstract: Colorectal cancer is one of the most prevalent and deadly forms of cancer worldwide, necessitating effective treatment strategies to improve patient outcomes. Objective response, a critical ...
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 ...
Greater baseline disease pruritus and quality of life impairment are associated with higher rates of super response to dupilumab in patients with AD.
Background Coronary artery disease (CAD) is one of the biggest causes of mortality worldwide. Risk stratification for early ...
Background Anti-C1q autoantibodies can disrupt normal complement function, contributing to the formation of pathogenic immune ...
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