Design of a multilayer photonic crystal biosensor for ocular studies enhanced with machine learning towards the evaluation of proliferative vitreoretinopathy.

Abstract read

In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Harikrishnan NDepartment of Communication Engineering, School of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India.ORCID http://orcid.org/0009-0003-4745-8692

Sangeetha ADepartment of Communication Engineering, School of Electronics Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India. asangeetha@vit.ac.in.ORCID http://orcid.org/0000-0002-5476-7077

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ocular studies utilizing a one-dimensional (1D) ternary photonic crystal biosensor are proposed. Incorporation of materials such as gallium nitride, aluminum nitride, and silicon in the design enhances the sensor metrics, facilitating diagnosis of diabetes and eye cancer. Multiple wavelengths are chosen in this investigation in the range of 580-1700 nm. The design analysis of this sensor is done on the basis of the transfer matrix method. Transmission characteristics exhibited by the sensor provide distinct analyte identification. The quality factor, sensitivity, and figure of merit exhibited by the sensor for the diabetes study utilizing eye tear fluids are 40,042, 783 nm RIU

Indexed as

Biosensing TechniquesMachine LearningVitreoretinopathy, ProliferativeAluminum CompoundsBoosting Machine Learning AlgorithmsEquipment DesignGalliumHumansPhotonsTearsAluminum Compoundsaluminum nitrideGalliumgallium nitrideDiabetesEye cancerMachine learningPhotonic crystalQuality factorRefractive indexTransfer matrix method

Identifiers

PMID42686809

DOI10.1038/s41598-026-66744-2

PMCPMC13538564

What OpenQuestion holds

Textmetadata

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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.