Results 141 to 150 of about 60,458 (267)

Human Dental Pulp Stem Cell Secretome Restores Ischemic Stroke–Impaired Motor and Cognitive Functions by Reprogramming Redox and Inflammatory Signaling

Advanced Science, EarlyView.
Human dental pulp stem cell secretome emerges as a cell‐free therapeutic strategy for ischemic stroke by reprogramming redox and inflammatory signaling. hDPSC secretome‐derived antioxidant and immunomodulatory factors suppress the TLR4–NOX–ROS–NF‐κB axis, reduce microglial inflammatory responses and apoptosis, and promote neurogenesis, angiogenesis ...
Kyung‐Joo Seong, Sehoon Park, Sun‐Woong Bae, Daseul Kim, Jin Ho Lee, Won‐Seok Choi, Zee‐Yong Park, Ji‐Yeon Jung, Won‐Jae Kim   +8 more
wiley   +1 more source

Deep Learning-Enhanced Resonance Frequency Analysis for Dental Implant Stability Assessment. [PDF]

Clin Exp Dent Res
Cao Z, Zhao B.
europepmc   +1 more source

The Successful Dental Implant

Journal of the California Dental Association, 1997
openaire   +2 more sources

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

Metastatic Lung Carcinoma Presenting as Pyogenic Granuloma Around Dental Implant. [PDF]

Clin Case Rep
Gidici S, Akçiçek G, Boyacıoğlu Erden H.   +2 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

Case Report: Dental implant displacement into the contralateral nasal cavity managed by endoscopic retrieval. [PDF]

Front Oral Health
Urechescu H, Cuzic C, Pricop A, Pricop M.   +3 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

Timing of Dental Implant Placement: The Past, the Present, the Future. [PDF]

J Periodontal Res
Thoma DS, Mancini L, Jung RE.
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