Two major cohorts were included. COPDGene enrolled 10,305 participants at 21 sites in the United States between 2007 and 2011, with follow-up through 2022. CanCOLD enrolled 1,561 participants ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

COPD is a group of progressive lung diseases that includes emphysema and chronic bronchitis. Despite affecting an estimated 32 million people in the United States, as many as half are unaware they ...

A NEW study finds that machine learning models using data from digital inhalers can successfully predict chronic obstructive pulmonary disease (COPD) exacerbations up to 5 days in advance, offering a ...

However, temporal variations and temporal correlations in flight data challenging to achieve accurate anomaly detection. To address these issues, the multiscale Transformers with contrastive learning ...

Objectives We aimed to develop machine learning (ML) models which estimate ITE of an intervention using data from randomised controlled trials and illustrate this approach with prediction of ITE on ...

This repository contains the R codes used to generate all the figures in the article Machine Learning-Assisted Multimodal Analysis Identifies an Immune-Driven COPD Subtype Associated with Increased ...

Effective fault detection and identification techniques enhance the quality and accuracy of integrated navigation systems. This paper proposes an enhanced multivariate cumulative sum (MCUSUM) control ...

Morgan Wallen Last week Weeks at no. 1 Weeks on chart Big Loud/Mercury/Republic Week of June 14, 2025 click to see more Big Loud/Mercury/Republic PLEDIS/Geffen/ICLG ...