The study, titled “GenAI-Powered Framework for Reliable Sentiment Labeling in Drug Safety Monitoring,” published in Applied ...

Depression is one of the most widespread mental health disorders worldwide, affecting approximately 4% of the global population. It is characterized by a persistent low mood, disruptions in typical ...

Understanding and preventing drug side effects holds a profound influence on drug development and utilization, profoundly impacting patients’ physical and mental well-being. Traditional artificial ...

A new study published in the Journal of Neurology1 detailed the development of 2 machine learning–based tools that were able ...

Drug diversion remains a persistent challenge for hospitals and health systems, putting both patient safety and workforce wellbeing at risk. The impact doesn’t stop there – diversion can also create ...

Scientists are using machine learning to find new treatments among thousands of old medicines. Scientists are using machine learning to find new treatments among thousands of old medicines. Joseph ...

(a) Examples of three major ML model types: tree‐based models (e.g., random forests, gradient boosted trees), kernel‐based models (e.g., support vector machines, Gaussian processes), and deep learning ...