Precision Medicine in Dentistry and Oral Surgery

A Special Issue of Journal of Personalized Medicine (ISSN 2075-4426) belonging to the section "Personalized Therapy in Clinical Medicine".

Deadline for manuscript submissions: 25 February 2027 | Viewed by 771

Editors


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Guest Editor
1. Laboratory of Evidence-Based and Precision Dentistry, Faculty of Medicine, University of Coimbra, 3000-075 Coimbra, Portugal
2. Faculty of Medicine, Genetics and Oncobiology (CIMAGO), Area of Environment, Coimbra Institute for Clinical and Biomedical Research (iCBR), University of Coimbra, 3000-548 Coimbra, Portugal
3. Centre for Innovate Biomedicine and Biotechnology (CIBB), University of Coimbra, 3000-548 Coimbra, Portugal
4. Clinical Academic Center of Coimbra (CACC), University of Coimbra, 3000-548 Coimbra, Portugal
5. Centre for Mechanical Engineering, Materials and Processes (CEMMPRE), Advanced Production and Intelligent Systems (ARISE), Polo III, University of Coimbra, 3030-788 Coimbra, Portugal
6. Faculty of Medicine, Institute of Orthodontics, University of Coimbra, 3000-075 Coimbra, Portugal
Interests: orthodontics; orthognathic surgery; SAOS; cleft palate; regenerative strategies; biomaterials; research in medicine based on clinical practice evidence (systematic reviews, meta-analyses, and patient-reported outcomes)

E-Mail Website
Guest Editor
1. Laboratory of Evidence-Based and Precision Dentistry, Faculty of Medicine, University of Coimbra, 3000-075 Coimbra, Portugal
2. Faculty of Medicine, Genetics and Oncobiology (CIMAGO), Area of Environment, Coimbra Institute for Clinical and Biomedical Research (iCBR), University of Coimbra, 3000-548 Coimbra, Portugal
3. Centre for Innovative Biomedicine and Biotechnology (CIBB), University of Coimbra, 3000-548 Coimbra, Portugal
4. Clinical Academic Center of Coimbra (CACC), University of Coimbra, 3000-548 Coimbra, Portugal
5. Centre for Mechanical Engineering, Materials and Processes (CEMMPRE), Advanced Production and Intelligent Systems (ARISE), Polo III, University of Coimbra, 3030-788 Coimbra, Portugal
6. Faculty of Medicine, Institute of Orthodontics, University of Coimbra, 3000-075 Coimbra, Portugal
Interests: orthognathic surgery; cleft lip and palate; orthodontics; virtual planning; distraction osteogenesis
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
1. Faculty of Medicine, Institute of Integrated Clinical Practice, University of Coimbra, 3000-075 Coimbra, Portugal
2. Laboratory of Evidence-Based and Precision Dentistry, Faculty of Medicine, University of Coimbra, 3000-075 Coimbra, Portugal
3. Faculty of Medicine, Genetics and Oncobiology (CIMAGO), Area of Environment, Coimbra Institute for Clinical and Biomedical Research (iCBR), University of Coimbra, 3000-548 Coimbra, Portugal
4. Centre for Innovate Biomedicine and Biotechnology (CIBB), University of Coimbra, 3000-548 Coimbra, Portugal
5. Clinical Academic Center of Coimbra (CACC), University of Coimbra, 3000-548 Coimbra, Portugal
6. Centre for Mechanical Engineering, Materials and Processes (CEMMPRE), Advanced Production and Intelligent Systems (ARISE), Polo III, University of Coimbra, 3030-788 Coimbra, Portugal
7. Avenida Bissaya Barreto, Blocos de Celas, 3000-075 Coimbra, Portugal
Interests: dentistry; development of animal models for dental diseases (pulp capping, surgical models, and gastric pathology); mechanical evaluation of composite resins; biomaterials (from molecular biology to cell biology); new approaches for dental pulp treatment (from drug development to in vivo experiments); research in medicine based on clinical practice evidence (systematic reviews, meta-analyses, and patient-reported outcomes)
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Precision medicine is revolutionizing healthcare by shifting from a one-size-fits-all approach to personalized care strategies tailored to individual patient characteristics. In dentistry and oral surgery, this innovative model is driving significant advances in diagnosis, risk assessment, treatment planning, and long-term patient management. By integrating genetic, molecular, imaging, and digital data, precision approaches enable clinicians to make more accurate decisions and deliver more effective and predictable outcomes. This Special Issue aims to gather high-quality research and reviews that explore the current and emerging applications of precision medicine across all fields of dental and oral surgical practice. We welcome interdisciplinary contributions that highlight clinical translation, technological innovation, and the challenges and opportunities in implementing precision-based strategies in daily practice.

The topics in this Special Issue include (but are not limited to) biomarker discovery, individualized treatment planning, AI and machine learning in diagnosis and prognosis, digital and 3D technologies, genomics and epigenetics, pharmacogenomics, risk stratification, and personalized surgical interventions.

High-quality research papers, clinical studies, review articles, and other types are welcome. We invite you to submit your valuable contributions to this Special Issue.

Prof. Dr. Inês Francisco
Prof. Dr. Francisco Vale
Dr. Anabela Baptista Paula
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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized 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
  • dentistry
  • oral health
  • clinical research
  • personalized treatment

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Published Papers (1 paper)

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Research

15 pages, 1903 KB  
Article
Prediction of Three-Dimensional Soft Tissue Changes Following Mandibular PEEK Implantation (Proof of Concept)
by Tom L. Zwijnenberg, Rutger H. Schepers, Johan Jansma and Haye H. Glas
J. Pers. Med. 2026, 16(8), 427; https://doi.org/10.3390/jpm16080427 - 13 Aug 2026
Viewed by 350
Abstract
Background/Objectives: Polyetheretherketone (PEEK) implants are increasingly being used for mandibular reconstruction and augmentation, yet predicting the resulting facial soft tissue changes remains challenging. Accurate pre-operative prediction of soft tissue deformation is essential for surgical planning and patient counselling. To the best of [...] Read more.
Background/Objectives: Polyetheretherketone (PEEK) implants are increasingly being used for mandibular reconstruction and augmentation, yet predicting the resulting facial soft tissue changes remains challenging. Accurate pre-operative prediction of soft tissue deformation is essential for surgical planning and patient counselling. To the best of our knowledge, this study presents the first application of a computational model for predicting three-dimensional facial soft tissue deformation induced by PEEK implants. Methods: Four patient cases with pre-operative and post-operative cone-beam computed tomography scans were analysed. A mass tensor model was employed to predict soft tissue changes based on the pre-operative soft tissue shape, mandibular anatomy, and the designed PEEK implant. Model accuracy was quantified by comparing predicted outcomes to post-operative scans using landmark-based analysis of chin and jaw positions, as well as surface distance mapping, with a mean error below 2 mm adopted as the criterion for clinically acceptable accuracy. Results: Landmark-based analysis revealed a mean absolute error of 0.9 ± 0.8 mm between the predicted and actual positions. The mean surface distances were 1.3 mm for the jaw–chin region and 1.0 mm for the entire facial region. Conclusions: These results demonstrate the potential of a computational approach for real-time prediction of facial soft tissue changes following PEEK implant placement, achieving clinically relevant accuracy at the cohort level, with a tendency towards under-prediction and one case exceeding the threshold. Full article
(This article belongs to the Special Issue Precision Medicine in Dentistry and Oral Surgery)
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