Evidence map›Paper›PMID 38515959›Full record

ArticleIEEE access : practical innovations, open solutions2024

Prediction of Tuberculosis From Lung Tissue Images of Diversity Outbred Mice Using Jump Knowledge Based Cell Graph Neural Network.

Vasundhara Acharya, Diana Choi, BüLENT Yener, Gillian Beamer

Abstract read
In one paragraph

Article in IEEE access : practical innovations, open solutions, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Artificial intelligence-enabled histological analysis in pre-clinical respiratory disease models: a scoping review.European respiratory review : an official journal of the European Respiratory Society · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Vasundhara AcharyaRensselaer Polytechnic Institute, Troy, NY 12180, USA.ORCID 0000-0002-8720-633X
Diana ChoiCummings School of Veterinary Medicine, Tufts University, North Grafton, MA 02155, USA.
BüLENT YenerRensselaer Polytechnic Institute, Troy, NY 12180, USA.ORCID 0000-0003-3989-6097
Gillian BeamerResearch Pathology, Aiforia Technologies, Cambridge, MA 02142, USA.ORCID 0000-0001-6782-4424

Funding

Predicting tuberculosis outcomes using genotypic and biomarker signaturesR01HL145411 · NHLBI · TUFTS UNIVERSITY BOSTON · PI BEAMER, GILLIAN L · 2019 to 2023
$3.4M
NHLBI NIH HHS R01 HL145411
6 · The paper itself

Abstract

Tuberculosis (TB), primarily affecting the lungs, is caused by the bacterium

Indexed as

Acid-fast bacillicell graphsconvolutional neural networkgranulomajumping knowledge neural networkpulmonary tuberculosiswhole slide image

Identifiers

PMID38515959
PMCPMC10956573

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.