Back to search

Article

Predicting Clinical Outcomes in <i>Helicobacter pylori-</i> positive Patients using Supervised Learning through the Integration of Demographic and Genomic Features

2025-07-29

Abstract excerpt

<h4>Background</h4> Helicobacter pylori (H. pylori) infection is widespread globally and is linked to outcomes ranging from chronic gastritis to gastric cancer. However, only a minority of infected individuals progress to malignancy, influenced by a mix of bacterial, host, and environmental factors. Current predictive approaches are limited due to relying mainly on clinical and lifestyle data. Genomic approaches...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
5b1f519b-9087-5bbc-bde9-6ebf091bee71
DOI
10.1101/2025.07.28.667137
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Predicting Clinical Outcomes in <i>Helicobacter pylori-</i> positive Patients using Supervised Learning through the Integration of Demographic and Genomic FeaturesDOI 10.1101/2025.07.28.667137
Select a neighboring publication to make it the new centre.