Personalized Medicine and Technology in Oral Science

A special issue of Journal of Personalized Medicine (ISSN 2075-4426). This special issue belongs to the section "Clinical Medicine, Cell, and Organism Physiology".

Deadline for manuscript submissions: 25 June 2025 | Viewed by 913

Special Issue Editors


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Guest Editor
Department of Medical Informatics and Biostatistics, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania
Interests: dental informatics; biostatistics; dental image processing; dental AI; dental software; dental biomaterials
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Oral Rehabilitation, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania
Interests: oral rehabilitation; oral medicine; implantology; laser therapy in dentistry; digitalization in dentistry; bruxism; dental wear; dental anxiety; pharmacology in dentistry
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Prosthetics, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania
Interests: prosthetics; bruxism; dental wear; digital techniques in dentistry; oral medicine; implantology

Special Issue Information

Dear Colleagues,

It is our pleasure to invite you to contribute manuscripts on a modern and interesting topic in dentistry—“Personalized Medicine and Technology in Oral Science”.

Over the past 60 years or so, emerging technologies have led to great advances in the diagnostics and therapy of dental diseases, representing key elements in achieving the true potential of personalized medicine. The use of dental technologies has enhanced precision and improved patient care in dentistry, during both the diagnosis and treatment plan, supporting the modern approach of treating patients, not diseases.

In this Special Issue, we aim to provide readers with a comprehensive collection of cutting-edge articles on precision-enhancing technology-based approaches and strategies in personalized dentistry, with dedicated software applications and hardware devices targeting challenges and progress in this field. We hope that this issue will encourage and support further efforts towards the effective and safe use of technology in dentistry.

We welcome original scientific, clinical research, and review articles.

Dr. Mihaela Ionescu
Prof. Dr. Sanda Mihaela Popescu
Prof. Dr. Veronica Mercu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Personalized Medicine is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • precision medicine
  • personalized dentistry
  • dental informatics
  • dental software
  • dental technology
  • CAD/CAM technology
  • dental technique
  • dental AI
  • digital dental education
  • prosthetics
  • oral surgery orthodontic
  • maxillofacial surgery
  • periodontology
  • oral implantology
  • dental materials
  • bone regeneration
  • tissue regeneration
  • dental engineering
  • dental image processing

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Published Papers (1 paper)

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Research

12 pages, 787 KiB  
Article
The Number of Remaining Teeth—A Predictability Factor for a Certain Type of Cardiovascular Condition in a Group of Hospitalized Individuals
by Mirela Mihart, Veronica Mercuț, Sanda Mihaela Popescu, Monica Mihaela Iacov-Crăițoiu, Mihaela Ionescu, Adina Dorina Glodeanu, Alexandra Maria Rădoi and Monica Scrieciu
J. Pers. Med. 2024, 14(12), 1166; https://doi.org/10.3390/jpm14121166 - 21 Dec 2024
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Abstract
Background: The aim of this study was to determine whether the oral parameter reflecting the total number of remaining permanent teeth (NRT) on both arches represents a predictability factor for a certain type of cardiovascular condition. Methods: This study included 84 subjects [...] Read more.
Background: The aim of this study was to determine whether the oral parameter reflecting the total number of remaining permanent teeth (NRT) on both arches represents a predictability factor for a certain type of cardiovascular condition. Methods: This study included 84 subjects (40 males and 44 females) with ages between 50 and 89 years old, hospitalized in the Cardiology Department, who required dental examinations and specialized therapeutic interventions within the Emergency Dental Department of the same medical facility. Results: The study participant’s data were statically analyzed. An unadjusted oral parameter NRT < 21 may represent a statistically significant predictor of developing cardiomyopathy (OR = 8.00, 95%CI = 2.78–23.06, p < 0.0005), heart valve disease and arterial hypertension, in association with other comorbidities (except for metabolic or pulmonary comorbidities). The regression analyses revealed a borderline-significant association between the adjusted NRT and metabolic comorbidities or coronary disease (OR = 0.37, 95%CI = 0.13–1.01, p = 0.052). Conclusions: Overall, the NRT may be considered a predictive marker that is relative to the risk of exhibiting cardiovascular conditions. Full article
(This article belongs to the Special Issue Personalized Medicine and Technology in Oral Science)
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