Materials informatics for developing new restorative dental materials: a narrative review

Li, Hefei; Imazato, Satoshi

doi:10.3389/fdmed.2023.1123976

Cited by 4 publications

(3 citation statements)

References 42 publications

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“…Mechanical tests were carried out for tension, compression, and three-point bending. In this paper, only the three-point bending data are reported, since they are more informative for the dental materials [ 23 ]. The key parameters to be evaluated are flexural strength, flexural modulus, and flexural strain.…”

Section: Methodsmentioning

confidence: 99%

Dental Material Selection for the Additive Manufacturing of Removable Complete Dentures (RCD)

Grachev

Chizhmakov

Stepanov

et al. 2023

IJMS

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This research addresses the development of a formalized approach to dental material selection (DMS) in manufacturing removable complete dentures (RDC). Three types of commercially available polymethyl methacrylate (PMMA) grades, processed by an identical Digital Light Processing (DLP) 3D printer, were compared. In this way, a combination of mechanical, tribological, technological, microbiological, and economic factors was assessed. The material indices were calculated to compare dental materials for a set of functional parameters related to feedstock cost. However, this did not solve the problem of simultaneous consideration of all the material indices, including their significance. The developed DMS procedure employs the extended VIKOR method, based on the analysis of interval quantitative estimations, which allowed the carrying out of a fully fledged analysis of alternatives. The proposed approach has the potential to enhance the efficiency of prosthetic treatment by optimizing the DMS procedure, taking into consideration the prosthesis design and its production route.

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Section: Methodsmentioning

confidence: 99%

Dental Material Selection for the Additive Manufacturing of Removable Complete Dentures (RCD)

Grachev

Chizhmakov

Stepanov

et al. 2023

IJMS

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“…The primary objective is to conserve the maximum amount of the patient’s natural tooth structure. Atraumatic restorative therapy (ART) is a notable example of how minimal intervention dentistry puts this concept into practice [ 2 ]. Using manual instruments, the process involves the removal of soft, fully demineralized carious tooth tissue as part of an alternative restorative treatment [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Comparative Evaluation of Antimicrobial Effectiveness and Compressive Strength in Neem and Lemongrass-Modified Glass Ionomer Cement: An In Vitro Study

Jaikumar Ram,

Paulraj,

et al. 2024

Cureus

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Background Glass ionomer cement (GIC) demonstrates biocompatibility and fluoride ion release, indicating their potential to inhibit a wide range of bacteria, although this remains uncertain. Lemongrass and neem are recognized for their potent antimicrobial activity against numerous pathogenic microorganisms. The objective of the study is to evaluate the antimicrobial effectiveness and compressive strength of GIC modified with neem and lemongrass. Methodology Lemongrass and neem were incorporated into conventional GIC at varying concentrations. Group I - neem-modified GIC (0.5%, 1%, 2%), group II - lemongrass-modified GIC (0.5%, 1%, 2%), and group III (non-modified GIC as a control group). The disk-shaped specimens were then compared to unmodified GIC (control). Antimicrobial effectiveness was assessed using the minimal inhibitory concentration (MIC) assay against Streptococcus mutans and Lactobacillus . Compressive strength was assessed using a Universal Testing Machine, with a crosshead speed set to 0.5 mm per minute. Statistical analysis was conducted with a significance level set at p < 0.05. Results Neem modification displayed superior antimicrobial effectiveness against both Streptococcus mutans and Lactobacillus at all concentrations when compared to the control, with 2% showing the least mean value of 0.262. In contrast, lemongrass modification exhibited a significant difference in effectiveness against Streptococcus mutans but no difference against Lactobacillus . Neem modification demonstrated superior performance compared to lemongrass (p < 0.05). Both modified groups showed no significant impact on compressive strength. Conclusions Neem-modified GIC demonstrated the highest antimicrobial efficacy against Streptococcus mutans and Lactobacillus without altering its compressive strength. This suggests its potential as a promising alternative material in restorative dentistry. Additional in vivo investigations are needed to assess the extended-term effectiveness of the material.

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“…These applications typically range from deep learning [4,5], for image-based tasks [6,7,8], to more recent natural language processing adaptations to aid in design of new materials [9,10,11]. Although machine learning approaches to materials discovery have found applications across multiple materials domains, it has yet to make an impact in the field of dental materials [12,13]. Instead, machine learning in dentistry has had modest impact in the areas of detection and diagnostics, with a few examples being the identification of dental caries, vertical root fractures, apical lesions, and diseases of the salivary glands [14].…”

Section: Introductionmentioning

confidence: 99%

Accelerating Dental Adhesive Innovations Through Active Learning and Bayesian Optimization

Issa,

Sorenson,

Sparks

2024

Preprint

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The discovery of new dental materials is typically a slow process due to high-dimensionality of the formulation space as well as the multiple competing objectives which must be optimized for a given application. Here, we lay out a strategy using active learning and Bayesian optimization that has led to the discovery of 3 new high-performing formulations for dental adhesives within 29 experiments. We utilize curated data from 91 experiments with 43 different components, to reduce the design space and incorporate domain knowledge into our search. The success of this machine learning approach can be adapted to a multitude of dental materials to allow for the fast and efficient discovery of optimal new formulations, leading to enhanced performance, reduced development times, and ultimately more cost-effective and innovative solutions in dental healthcare.

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Materials informatics for developing new restorative dental materials: a narrative review

Cited by 4 publications

References 42 publications

Dental Material Selection for the Additive Manufacturing of Removable Complete Dentures (RCD)

Dental Material Selection for the Additive Manufacturing of Removable Complete Dentures (RCD)

Comparative Evaluation of Antimicrobial Effectiveness and Compressive Strength in Neem and Lemongrass-Modified Glass Ionomer Cement: An In Vitro Study

Accelerating Dental Adhesive Innovations Through Active Learning and Bayesian Optimization

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