Evidence map›Paper›PMID 41694137›Full record

ArticleFrontiers in bioengineering and biotechnology2025

A hybrid vocal fold phonatory platform for pediatric phonation modeling.

Leila Donyaparastlivari, Rishi Kuriakose, Mohaddeseh Mohammadi, Ayda Pourmostafa, Daniel Li, Scott L Thomson, Chen Shen, Amir K Miri

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2025. 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

8 authors.

Leila DonyaparastlivariDepartment of Mechanical and Industrial Engineering, New Jersey Institute of Technology, Newark, NJ, United States.
Rishi KuriakoseDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, United States.
Mohaddeseh MohammadiDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, United States.
Ayda PourmostafaDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, United States.
Daniel LiDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ, United States.
Scott L ThomsonDepartment of Mechanical and Civil Engineering, Brigham Young University-Idaho, Rexburg, ID, United States.
Chen ShenDepartment of Mechanical Engineering, Rowan University, Glassboro, NJ, United States.
Amir K MiriDepartment of Mechanical and Industrial Engineering, New Jersey Institute of Technology, Newark, NJ, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding pediatric phonation requires models that capture the biomechanical properties and dynamic airflow interactions of vocal folds. While synthetic vocal fold models have advanced the study of airflow-structure interactions in phonation, they cannot incorporate biologically relevant components such as hydrogels or human-derived cells. We developed a hybrid vocal fold phonatory platform that integrates a natural hydrogel with a silicone-based synthetic framework to address this limitation, enabling biomechanical fidelity and biological relevance. We adapted and downscaled a human vocal fold model (EPI) to replicate the dimensions of infant vocal folds. Using silicone elastomers and gelatin-silicone composites, we fabricated infant-scale replicas that mimic native tissue. Our results demonstrate that the material properties and geometrical scaling significantly affect vibratory behavior and acoustic output. Size reduction aligns with pediatric anatomical dimensions and minimizes the cell volume required for future biologically active models. This platform offers a scalable and bio-integrative approach for studying pediatric phonation, with potential applications in voice biomechanics, developmental vocal fold pathology, and tissue engineering.

Indexed as

biomechanicsgelatin methacryloylself-sustained oscillationssiliconevocal folds

Identifiers

PMID41694137
PMCPMC12895111

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Registered trials

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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.