Detecting, Characterizing, and Mitigating Implicit and Explicit Racial Biases in Health Care Datasets With Subgroup Learnability: Algorithm Development and Validation Study ...

Abstract: This study examines the application of Large Reasoning Model (LRM)-based artificial intelligence (AI) agents to accelerate scientific discovery, with a specific focus on the rapid ...

Instagram is experimenting with bringing tools to control your own algorithm to Threads, its X rival. The feature was uncovered while in development by reverse engineer Alessandro Paluzzi, who ...

Introduction: Cardiotocography (CTG) assesses fetal well-being through measurements of fetal heart rate (FHR) and uterine activity (UA). Manual visual assessment of fetal tracings is variable due to ...

This study analyses the experience of integrating sustainable development modules into the curricula of two Kazakh universities. Unlike most Western models, the project is adapted to the conditions of ...

1 Kreitman School of Advanced Graduate Studies, Ben-Gurion University of the Negev, Beer-Sheva, Israel. 2 Recanati School for Community Health Professions, Ben-Gurion University of the Negev, ...

The cohort was randomly divided into training and testing datasets in a 7:3 ratio, and multiple ML techniques were used to develop an algorithm for optimizing initial vancomycin dosing. The optimal ...