The future of dentistry: how will personalized medicine affect orthodontic treatment?

Zanardi, Gustavo; Frazier‐Bowers, Sylvia A.

doi:10.1590/s2176-94512012000300002

Cited by 7 publications

(4 citation statements)

References 22 publications

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“…Personalized orthodontics is customized to an individual in whom the genomic evidence and clinical data can be utilized and the susceptibility of developing malocclusion(s) can be anticipated, and consequently, treatment plan is implemented in a precise manner. [32] In orthodontics, for instance, mandibular prognathism (Class III) and cleft lip and palate are primarily genetic in origin and also certain number of them are environmental in origin.…”

Section: Resultsmentioning

confidence: 99%

Embracing personalized medicine in dentistry

2019

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Aim: The aim of this systematic review was to evaluate the number of articles in the area of personalized medicine specific to dentistry. Materials and Methods: Electronic search using three databases was performed using PubMed, Embase, and Scopus search. Results: Results suggest that there is a definite need for more awareness and research pertaining to this specific area. Conclusion: With this background, the authors have written a comprehensive review on applications of personalized medicine in various branches of dentistry.

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Section: Resultsmentioning

confidence: 99%

Embracing personalized medicine in dentistry

2019

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“…We are quickly approaching a time when personalized Medicine will be a part of our diagnostic regime in Dentistry as it is with Medicine. 12 The American Society of Human Genetics (ASHG) has in fact recommended that taking a family history represents the gold standard in the diagnosis and management of medical (and by extension) dental disorders. As we enter the post-genomic era in Molecular Biology, it is the judicious combination of clinical, biological, and genetic factors that will lead to successful diagnosis and treatment of nearly all clinical disorders.…”

Section: Scientists Are Rapidly Developing and Employing Diagnostic Tmentioning

confidence: 99%

An interview with Sylvia Frazier-Bowers

Frazier‐Bowers

Zanardi²,

Ja³

et al. 2015

Dental Press J. Orthod.

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“…Patients at high risk may benefit from more frequent visits while less frequent visits might be adequate for subjects without certain risk factors of PD (Giannobile et al, 2013). This provides evidence that a personalized (or precision) medicine approach (Kornman and Duff, 2012;Zanardi et al, 2012) might improve resource allocation for preventive dentistry.…”

Section: Introductionmentioning

confidence: 99%

Bayesian Nonparametric Policy Search With Application to Periodontal Recall Intervals

Guan

Reich

Laber

et al. 2019

Journal of the American Statistical Association

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Tooth loss from periodontal disease is a major public health burden in the United States. Standard clinical practice is to recommend a dental visit every six months; however, this practice is not evidence-based, and poor dental outcomes and increasing dental insurance premiums indicate room for improvement. We consider a tailored approach that recommends recall time based on patient characteristics and medical history to minimize disease progression without increasing resource expenditures. We formalize this method as a dynamic treatment regime which comprises a sequence of decisions, one per stage of intervention, that follow a decision rule which maps current patient information to a recommendation for their next visit time. The dynamics of periodontal health, visit frequency, and patient compliance are complex, yet the estimated optimal regime must be interpretable to domain experts if it is to be integrated into clinical practice. We combine non-parametric Bayesian dynamics modeling with policy-search algorithms to estimate the optimal dynamic treatment regime within an interpretable class of regimes. Both simulation experiments and application to a rich database of electronic dental records from the HealthPartners HMO shows that our proposed method leads to better dental health without increasing the average recommended recall time relative to competing methods.

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The future of dentistry: how will personalized medicine affect orthodontic treatment?

Abstract: How to cite this article: Zanardi G, Proffit WR, Frazier-Bowers SA. The future of dentistry: How will personalized medicine affect orthodontic treatment? Dental

Cited by 7 publications

References 22 publications

Embracing personalized medicine in dentistry

Embracing personalized medicine in dentistry

An interview with Sylvia Frazier-Bowers

Bayesian Nonparametric Policy Search With Application to Periodontal Recall Intervals

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