Results 201 to 210 of about 149,061 (310)

Integrated Single‐Nucleus Multi‐Omics Atlases Reveal Lineage Plasticity and Regulatory Networks of Luminal Epithelial Cells During Mammary Gland Lactation and Involution

Advanced Science, EarlyView.
This study integrates single‐cell multi‐omics, spatial transcriptomics, and cross‐species comparative analyses to systematically characterize the cellular composition and differentiation trajectories of goat mammary epithelial cells, along with the gene regulatory networks and intercellular communication mechanisms governing these trajectories, thereby
Xiaoru Yan, Xiaoyu Mi, Guanghui Tan, Xinmei Li, Zhenliang Zhu, Zhenyu Wei, Huimei Fan, Yamei Wu, Tao Shi, Lingzhao Fang, Yuanpeng Gao, Yu Wang, Jun Liu   +12 more
wiley   +1 more source

Dental professionals' knowledge and awareness of teledentistry. [PDF]

BMC Oral Health
Arafa A, AbdelShakoor N, Hegazy A, Salah M, Abdelazim M, Ezzat A, Moufeed M, Youssef M, Raymond C, Jamal F.   +9 more
europepmc   +1 more source

Chemical‐Biological Fixation for Enhanced Bone Augmentation in Guided Bone Regeneration

Advanced Science, EarlyView.
M2N2ACa is an innovative injectable thermoresponsive barrier membrane adhesive to achieve reliable bone graft fixation. It provides strong wet adhesion and promotes the bio‐stabilization mediated by coagulation through controlled calcium release. This dual‐fixation strategy combines external chemical fixation and internal biological fixation via clot ...
Yu‐zhu Wang, Gao‐peng Dang, Zhi‐ting Li, Zhi‐hong Feng, Que Bai, Jia‐xin Hao, Xiao‐qing Cao, Tao Ye, Jing Li, Franklin R. Tay, Malcolm Xing, Ming Fang, Jun‐ting Gu, Li‐na Niu   +13 more
wiley   +1 more source

A dataset of preclinical tooth preparation images. [PDF]

Data Brief
Fraiwan M, Al Fodeh R, Shamiyah D.
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

Robot-Assisted Oral Examination: Challenges and Innovations. [PDF]

Int Dent J
Ge Y, Wang W, Zhao T, Liu D, Fan S, Liu P, Li W, Sun H, Liu X.   +8 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

The Use of Teledentistry in Diagnosis, Consultation, and Treatment of Oral and Dental Diseases: A Systematic Review Study. [PDF]

Health Sci Rep
Dinari F, Ghaemi MM, Bahaadinbeigy K, Hajesmaeel-Gohari S.   +3 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

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