Results 251 to 260 of about 1,783,328 (341)

Polymerization Behavior of New Stela Self-Cured Bulk-Fill and Light-Cured Composites: An In Vitro Comparative Study. [PDF]

open access: yesJ Funct Biomater
Haridy R   +8 more
europepmc   +1 more source

Lignan‐rich Norway spruce (Picea abies) resin extract exhibits anti‐inflammatory, skin‐regenerative and anti‐acne effects: In vitro, in silico, biocompatibility and exploratory clinical findings

open access: yesInternational Journal of Cosmetic Science, EarlyView.
GA text A 30% Picea abies resin extract cream combined antimicrobial, anti‐inflammatory and early pro‐repair activities relevant to acne‐prone skin. The formulation showed strong activity against Cutibacterium acnes, reduced inflammatory cytokines and demonstrated promising tolerability and efficacy in an exploratory in‐use study. Abstract Objective To
Simone Parrotta   +4 more
wiley   +1 more source

Effect of different scaling instruments on the roughness of esthetic resin composite restorations: an <i>in vitro</i> study. [PDF]

open access: yesFront Dent Med
Alhumaidan A   +7 more
europepmc   +1 more source

A Systematic Review Evaluating Methods for Diagnosis, Treatment and Prevention of Dental Erosions

open access: yesInternational Journal of Dental Hygiene, EarlyView.
ABSTRACT Aim The aim of this systematic review was to investigate the quality of evidence for methods used to diagnose, restore and prevent dental erosions, by evaluating and summarising clinical controlled studies and in situ studies covering this field.
Maria Skalsky Jarkander   +5 more
wiley   +1 more source

Antibacterial Efficacy of Resin-Based Dental Composites Modified With Antibacterial Agents Against S. Mutans: A Systematic Review

open access: bronze
Ahmad Setiawan Jarigau   +5 more
openalex   +2 more sources

Machine Learning‐Based Prediction of Dental Caries in 12‐Year‐Old Adolescents: A Nationwide Cross‐Sectional Study in Korea

open access: yesInternational Journal of Dental Hygiene, EarlyView.
ABSTRACT Objective We aimed to develop and evaluate machine learning models to support population‐level risk stratification for dental caries in the permanent dentition of 12‐year‐old Korean children and to visualise the relative importance of key predictors.
Gahyun Cho   +4 more
wiley   +1 more source

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