BMJ

Phenotypes of non-alcoholic fatty liver disease (NAFLD) and all-cause mortality: unsupervised machine learning analysis of NHANES III

Objectives Non-alcoholic fatty liver disease (NAFLD) is a non-communicable disease with a rising prevalence worldwide and with large burden for patients and health systems. To date, the presence of ...
Hacker

Context Graphs, Ontologies, and the Race to Fix Enterprise AI

Got Tech, Data, AI and Media, and not afraid to use them. Gartner highlighted Data Management, Semantic Layers, and GraphRAG as Top Trends in Data and Analytics for 2026. Startups and incumbents in ...
Frontiers

ML-GAP: machine learning-enhanced genomic analysis pipeline using autoencoders and data augmentation

The advent of RNA sequencing (RNA-Seq) has significantly advanced our understanding of the transcriptomic landscape, revealing intricate gene expression patterns across biological states and ...
Scientific Research Publishing

Cimiano, P. (2006) Ontology Learning and Population from Text: Algorithms, Evaluation and Applications (Vol. 27). Springer Science & Business Media, Berlin.

ABSTRACT: With this work, we introduce a novel method for the unsupervised learning of conceptual hierarchies, or concept maps as they are sometimes called, which is aimed specifically for use with ...
Frontiers

Machine learning identifies exosome features related to hepatocellular carcinoma

Background: Hepatocellular carcinoma (HCC) is one of the most malignant tumors with a poor prognosis. There is still a lack of effective biomarkers to predict its prognosis. Exosomes participate in ...