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 ...

The study departs from conventional mean-based economic forecasting by focusing on quantile prediction, a technique that ...

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

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

Development and Validation of an Ipsilateral Breast Tumor Recurrence Risk Estimation Tool Incorporating Real-World Data and Evidence From Meta-Analyses: A Retrospective Multicenter Cohort Study Data ...

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