A novel machine learning approach for tumor detection based on telomeric signatures.

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

Who cites it

2 citing papers in PubMed.

1. A six-gene prognostic signature for aflatoxin B1-associated hepatocellular carcinoma identified through integrated bioinformatics and network toxicology.Translational gastroenterology and hepatology · 2026
   Article
2. Methods for telomere length measurement: an update on current technologies and emerging approaches.Frontiers in molecular biosciences · 2025
   Review

Corrections and comments

• Update of
  A NOVEL MACHINE LEARNING APPROACH FOR TUMOR DETECTION BASED ON TELOMERIC SIGNATURES.2025

Authors and funding

2 authors.

Funding

Abstract

Indexed as