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A mostrar 1 - 20 resultados de 94 para a pesquisa '(((( j d combe can never ) OR ( j a claims can newly ))) OR ( j dental computer caries en ))', tempo de pesquisa: 1.58seg Refinar resultados
Newly recognized turbidity current structure can explain prolonged flushing of submarine canyons
Longitudinal Analysis of Heritability for Dental Caries Traits

Heritability of Oral Microbial Species in Caries-Active and Caries-Free Twins
EFFECTS OF LIFESTYLE, SOCIOECONOMICS, AND AGE-RELATED DISEASES ON RISK OF ALZHEIMER’S DISEASE AND OTHER DEMENTIAS

Protocol for assessing maternal, environmental and epigenetic risk factors for dental caries in children
Cone Beam Computed Tomography- An Effective Tool in Detecting Caries Under Fixed Dental Prostheses

UNDERSTANDING USER PARTICIPATION IN RESEARCH: METHODOLOGICAL CONSIDERATIONS
Effect of health promotion and fluoride varnish on dental caries among Australian Aboriginal children: results from a community-randomized controlled trial*

Major Medical Outcomes with Spinal Augmentation versus Conservative Therapy
Second Era of OMICS in Caries Research: Moving Past the Phase of Disillusionment

Influence of the Display Monitor on Observer Performance in Detection of Dental Caries
A170 CANADIANS WITH CELIAC DISEASE MISINTERPRET PRODUCT LABEL INFORMATION WHICH MAY LEAD TO UNSAFE FOOD CHOICES DESPITE ALLERGEN LABELLING LAWS

Physician Cost Profiling–Reliability and Risk of Misclassification: Detailed Methodology and Sensitivity Analyses
A Mathematical Model for Dental Caries: A Coupled Dissolution-Diffusion Process

Prevalence of caries and tooth Loss among study participants of the Hispanic Community Health/Study of Latinos
Designing of a Computer Software for Detection of Approximal Caries in Posterior Teeth

What Maryland Adults With Young Children Know and Do About Preventing Dental Caries
Two decades of persisting income-disparities in dental caries among U.S. children and adolescents

Feasibility of micro-computed tomography to detect and classify proximal caries lesions in vitro
GEE type inference for clustered zero-inflated negative binomial regression with application to dental caries

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