Results 271 to 280 of about 5,783,904 (359)

Effectiveness of scenario-based high-fidelity simulation training on management of medical emergencies in dental settings: a theory-based intervention with a long-term follow-up. [PDF]

BMC Med Educ
Alawaji YN, Alharthy NA, Alghamdi A, Alshibani A, Binhotan M, Alqahtani H, Albalawi F, Alshehri A, Aboalela A, Altuwaijri SH, Kalagi SA, Alfadley A.   +11 more
europepmc   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

Advanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi, Kateryna Andriienkova, Tetyana Goldanova, Ezgi Antmen, Thibaut Soubrie, Nihal Engin Vrana   +5 more
wiley   +1 more source

A Comparative Study on Hypochondriasis Among Medical and Dental Students in Post-COVID-19 Pandemic: A Cross-Sectional Study. [PDF]

Health Sci Rep
Darshan S, Bodani N, Lal A, Maqsood A, Ahmed N, Altamash S, Heboyan A.   +6 more
europepmc   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source

Awareness of gingival retraction before final impression procedures among interns at Saudi Arabia: A cross-sectional study. [PDF]

Bioinformation
Alrethia R, AlBaqami I, Almohaimeed B, Alharbi A, Alqahtani M, Alhablen A.   +5 more
europepmc   +1 more source

Smart Denture with Embedded Thin‐Film Temperature Sensors Patterned by Femtosecond Laser Pulse for Elderly Healthcare

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
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, Yong Kwon Chae, Seoung‐Jin Hong, Younggen Lee, Dongwook Yang, Byunggi Kim, Sang Wook Kang, Young‐Jin Kim   +7 more
wiley   +1 more source

Examining tobacco prevention and cessation among dental students in Southern Italy. [PDF]

Discov Public Health
Di Fede O, Tundealao S, Okuji D, La Mantia G, Tamí-Maury I.   +4 more
europepmc   +1 more source

How does the Kids SIPsmartER program impact the sugar‐sweetened beverage intake of students: An investigation beyond total treatment effect in randomized controlled trial

American Journal of Agricultural Economics, EarlyView.
Abstract This study develops and empirically estimates a structural framework to decompose the causal pathways of multilevel behavioral interventions targeting adolescent health behaviors. We apply this framework to the Kids SIPsmartER (KSS) program, a 6‐month, school‐based intervention evaluated through a clustered randomized controlled trial in rural
Naveen Abedin, Wen You, Annie Reid, Kathleen Porter, Brittany Kirkpatrick, Jamie Zoellner   +5 more
wiley   +1 more source

A perspective on moral sensitivity: undergraduate dentistry students and orthodontic clinicians. [PDF]

BMC Med Educ
Sokmen T, Balos Tuncer B, Celik B, Tortop T.   +3 more
europepmc   +1 more source