Google’s Recommender System Breakthrough Detects Semantic Intent

Google quietly published a research paper on personalized semantics for recommender systems like Google Discover and YouTube.
ahajournals.org

Part 7: Adult Basic Life Support: 2025 American Heart Association Guidelines for Cardiopulmonary Resuscitation and Emergency Cardiovascular Care

The American Heart Association’s 2025 Adult Basic Life Support Guidelines build upon prior versions with updated recommendations for assessment and management of persons with cardiac arrest, as well ...
IEEE

Emotion-Based Music Recommendation System Integrating Facial Expression Recognition and Lyrics Sentiment Analysis

Abstract: Facial Expression Recognition (FER) has created widespread interest due to its potential uses in personalized technology and mental health, notably in systems that recommend music based on ...
qualitysafety.bmj

Barriers and enablers to implementing opioid deprescribing guideline recommendations: a qualitative analysis of primary care physicians’ perspectives using the Theoretical ...

Background To address escalating opioid-related harm, an Australian evidence-based guideline for deprescribing opioids was recently published. However, the barriers and enablers to its implementation ...
IEEE

Medicine Recommendation System for Diseases Using Machine Learning

Abstract: This study develops an AI-driven medicine recommendation system using machine learning to assist healthcare professionals in selecting optimal medications based on indications and medical ...
GitHub

model-recommendation

CLARINET (CLARIfying NETworks) is a tool that equips modelers with a fast and reliable assistant to select the most relevant knowledge about the systems being modeled using graph-based approaches and ...