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1.
Multilocus sequence typing of Candida albicans oral isolates reveals high genetic relatedness of mother-child dyads in early life.
PLoS One
; 19(1): e0290938, 2024.
Artículo
en Inglés
| MEDLINE | ID: mdl-38232064
2.
Antifungal Susceptibility of Oral Candida Isolates from Mother-Infant Dyads to Nystatin, Fluconazole, and Caspofungin.
J Fungi (Basel)
; 9(5)2023 May 17.
Artículo
en Inglés
| MEDLINE | ID: mdl-37233291
3.
Acceptance and Usability of an Innovative mDentistry eHygiene Model Amid the COVID-19 Pandemic Within the US National Dental Practice-Based Research Network: Mixed Methods Study.
JMIR Hum Factors
; 10: e45418, 2023 Aug 18.
Artículo
en Inglés
| MEDLINE | ID: mdl-37594795
4.
Racial and oral health disparity associated with perinatal oral health care utilization among underserved US pregnant women.
Quintessence Int
; 53(10): 892-902, 2022 Oct 21.
Artículo
en Inglés
| MEDLINE | ID: mdl-35674161
5.
Artificial intelligence-powered smartphone application, AICaries, improves at-home dental caries screening in children: Moderated and unmoderated usability test.
PLOS Digit Health
; 1(6)2022.
Artículo
en Inglés
| MEDLINE | ID: mdl-36381137
6.
Changes in Candida albicans, Streptococcus mutans and oral health conditions following Prenatal Total Oral Rehabilitation among underserved pregnant women.
Heliyon
; 7(8): e07871, 2021 Aug.
Artículo
en Inglés
| MEDLINE | ID: mdl-34485745
7.
Assessment of an Innovative Mobile Dentistry eHygiene Model Amid the COVID-19 Pandemic in the National Dental Practice-Based Research Network: Protocol for Design, Implementation, and Usability Testing.
JMIR Res Protoc
; 10(10): e32345, 2021 10 26.
Artículo
en Inglés
| MEDLINE | ID: mdl-34597259
8.
Assessing a Smartphone App (AICaries) That Uses Artificial Intelligence to Detect Dental Caries in Children and Provides Interactive Oral Health Education: Protocol for a Design and Usability Testing Study.
JMIR Res Protoc
; 10(10): e32921, 2021 Oct 22.
Artículo
en Inglés
| MEDLINE | ID: mdl-34529582
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