Results 121 to 130 of about 1,435,388 (349)
We demonstrate the direct‐laser patterning of a gold thin film on polymethyl methacrylate to fabricate a temperature sensor for dentures. The temperature sensor‐embedded smart dentures are evaluated in an oral environment, enabling in‐situ monitoring for elderly healthcare.
Han Ku Nam+7 more
wiley +1 more source
Objective The purpose of this study is to explore the perspectives, familiarity, and readiness of dental faculty members regarding the integration and application of artificial intelligence (AI) in dentistry, with a focus on the possible effects on ...
Wajiha Qamar+4 more
doaj +1 more source
Factors Affecting Part‐Time Dental Hygiene Faculty Members’ Intent to Stay in Education [PDF]
Collin J. Hodgkins+4 more
openalex +1 more source
Multi‐Module Micro/Nanorobots for Biomedical and Environmental Remediation Applications
Multi‐module microrobots (MNRs) have overcome the limitations of single‐module systems by integrating components such as propeller, actuator, manipulator, and imaging modalities. They show promise in biomedical applications, such as targeted drug delivery and tissue repair, as well as in environmental remediation, including pollutant removal.
Bairong Zhu+4 more
wiley +1 more source
Evaluation of Anxiety and Depression Levels of Dental Faculty Preclinical Student?s in Term of Various Variables [PDF]
Tuba Talo Yi̇ldi̇ri̇m, Tahir Karaman
openalex +1 more source
AI‐Driven Microphysiological Systems for Advancing Nanoparticle Therapeutics
This review outlines recent advances in integrating artificial intelligence with microphysiological systems for nanoparticle evaluation. It highlights data‐driven optimization, image‐based prediction, and AI‐enabled analysis frameworks that advance translational research and support the development of personalized nanomedicine. Nanoparticles (NPs) play
Yedam Lee+3 more
wiley +1 more source
Assessment of Head and Neck Cancer Knowledge and Awareness Levels among Undergraduate Dental Students at King Abdulaziz University Faculty of Dentistry [PDF]
Turki Y. Alhazzazi
openalex +1 more source
Phase Stability in Rare‐Earth‐Doped Apatites: A Machine Learning Approach
The thermal behavior and phase stability of rare‐earth‐doped apatites are investigated using high‐temperature X‐ray diffraction and thermogravimetric analysis. A machine learning decision tree model predicts decomposition products and stability regimes with ≈86% accuracy.
Geeta Sharma+5 more
wiley +1 more source