25 Researchers working on CVD risk prediction have been moving towards including more personalised factors and using machine learning models ... Noting the differences in case-mix between UK Biobank ...

This discovery-driven proteomics study of a pediatric population - including rare diseases - introduces a SNOMED CT-guided ...

Abstract: Self-supervised learning enables networks to learn discriminative features from massive data itself. Most state-of-the-art methods maximize the similarity between two augmentations of one ...

Robert Kelly is managing director of XTS Energy LLC, and has more than three decades of experience as a business executive. He is a professor of economics and has raised more than $4.5 billion in ...

Cluster Boost harnesses the strengths of both unsupervised and supervised learning methods, combining them to create a more robust and accurate predictive model. The proposed Cluster Boost model ...

coli that are predictive of interaction outcomes and are surprisingly conserved between distant bacterial species. Novel predictions were experimentally validated in E. coli (66 combinations) and S.

The observed differences in peptide profiles between lung adenocarcinoma and benign nodules ... lung adenocarcinoma samples from noncancerous samples. Under the CHAID machine learning model, the ...