Causal digital twin modeling of periodontal healing: personalized prediction of low-level laser therapy benefit using a tooth-graph ODE transformer

The CaTGO digital twin predicted periodontal healing and identified patient-specific LLLT benefits, showing how graph-based deep learning and causal modeling can personalize therapy, guide clinicians, and improve decision-making.

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Publication Details

Journal
Frontiers in Dental Medicine
Published
2026-02-24
DOI
https://doi.org/10.3389/fdmed.2026.1737162
Primary Topic
Laser Applications in Dentistry and Medicine
Type
article
Field-Weighted Citation Impact
0.00

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article

Causal digital twin modeling of periodontal healing: personalized prediction of low-level laser therapy benefit using a tooth-graph ODE transformer

Prabhu Manickam Natarajan, Pradeep Kumar Yadalam
Frontiers in Dental Medicine
Laser Applications in Dentistry and Medicine
article

Causal digital twin modeling of periodontal healing: personalized prediction of low-level laser therapy benefit using a tooth-graph ODE transformer

Prabhu Manickam Natarajan, Pradeep Kumar Yadalam
article en

Abstract

The CaTGO digital twin predicted periodontal healing and identified patient-specific LLLT benefits, showing how graph-based deep learning and causal modeling can personalize therapy, guide clinicians, and improve decision-making.

Frontiers in Dental MedicineVol. 7
Ajman University (AE), Saveetha University (IN)
Ajman University
Openalex Percentile: Top 45%
Laser Applications in Dentistry and Medicine
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