Evidence map›Paper›PMID 41295734›Full record

ArticleVeterinary sciences2025

Radiofrequency Wave Sensing for Rapid Animal Health Monitoring: A Proof-of-Concept Study.

Aftab Siddique, Ramya Kota, Goutham Kumar Isai, Davia Brown, Oreta Samples, Niki Whitley, Phaneendra Batchu, Thomas H Terrill, Jan van Wyk

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Veterinary sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

9 authors.

Aftab SiddiqueDepartment of Agricultural Sciences, Fort Valley State University, Fort Valley, GA 31030, USA.ORCID 0000-0003-1427-4777
Ramya KotaDepartment of Agricultural Sciences, Fort Valley State University, Fort Valley, GA 31030, USA.
Goutham Kumar IsaiDepartment of Agricultural Sciences, Fort Valley State University, Fort Valley, GA 31030, USA.
Davia BrownDepartment of Agricultural Sciences, Fort Valley State University, Fort Valley, GA 31030, USA.
Oreta SamplesDepartment of Agricultural Sciences, Fort Valley State University, Fort Valley, GA 31030, USA.ORCID 0000-0001-7828-7660
Niki WhitleyDepartment of Agricultural Sciences, Fort Valley State University, Fort Valley, GA 31030, USA.ORCID 0000-0001-8067-6745
Phaneendra BatchuDepartment of Agricultural Sciences, Fort Valley State University, Fort Valley, GA 31030, USA.ORCID 0009-0000-7526-1692
Thomas H TerrillDepartment of Agricultural Sciences, Fort Valley State University, Fort Valley, GA 31030, USA.
Jan van WykDepartment of Veterinary Tropical Diseases, Faculty of Veterinary Science, University of Pretoria, Private Bag x04, Onderstepoort 0110, South Africa.

Funding

1890 Capacity Building Grant - USDA/NIFA 2024-38821-42102
6 · The paper itself

Abstract

Anemia caused by gastrointestinal parasitism is a major constraint to small ruminant productivity, particularly in low-resource production systems where diagnostic tools and veterinary access are limited, with use of FAMACHA as a biological reference This study evaluated the potential of radio-frequency non-destructive technique (RF-NDT) wave-derived features as non-invasive biomarkers for anemia detection in goats, using FAMACHA© scores as a biological reference. Variable clustering of the top ten frequencies revealed distinct patterns across health states. Healthy (FAMACHA© 1) animals were characterized by a single frequency cluster centered at 8.43 GHz, which explained 93.7% of variation, whereas moderately affected animals (FAMACHA© 2) shifted to 9.33 GHz with reduced uniformity (88.7%). Borderline animals (FAMACHA© 3) required two clusters (9.89 and 8.23 GHz), explaining 91.0% of variation, indicating increasing tissue heterogeneity with anemia progression. Regression analysis demonstrated strong predictive power, with Linear Regression achieving R

Indexed as

classification modelFAMACHA©Haemonchuslivestockmultilayer perceptronparasitismpredictive modelingradio-frequency wavessmall ruminants

Identifiers

PMID41295734
PMCPMC12656894

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.