For decades, artificial intelligence has excelled at spotting patterns in data. Machine learning models can predict customer behavior, forecast market trends, or identify medical risks with high ...

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

A machine learning–driven web tool based on 13 standard patient metrics demonstrates strong predictive performance for MASLD, ...

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 ...

Rather than study how to use AI, students in this machine learning class work with the math that makes the AI work.

The researchers argue that the integration of explainable AI into clinical decision-making pipelines could reshape cancer ...

A machine learning model can use patient-reported data and remote therapeutic monitoring to accurately assess low disease ...