Results 181 to 190 of about 2,878,283 (349)

Oral l‐glutamine administration attenuated cutaneous wound healing in Wistar rats

International Wound Journal, 2016
Saurabh Goswami, A. Kandhare, A. Zanwar, M. Hegde, S. Bodhankar, Sudhir Shinde, Shahaji Deshmukh, R. Kharat   +7 more
semanticscholar   +1 more source

Dual‐Network Protein Hydrogels Promote Rapid Hemostasis and Immune‐Regulated Scarless Tissue Regeneration

Advanced Science, EarlyView.
A dual‐network protein hydrogel substantially improves hemostasis and scar‐free healing.The adaptive network maintains intimate tissue contact while providing strong wet adhesion, tunable mechanics, and controlled degradation. Concurrent ROS scavenging and M2 polarization suppress fibrotic pathways, preventing scar formation.
Xiaomei Li, Guorui Zhang, Xinyue Wang, Zhongyu Liu, Ling Yang, Yuhan Bao, Min Wei, Yonglin Chen, Yanfei Ma, Wenbo Sheng, Bo Yu, Bin Li   +11 more
wiley   +1 more source

17β‐Estradiol administration promotes delayed cutaneous wound healing in 40‐week ovariectomised female mice

International Wound Journal, 2016
Kanae Mukai, Yukari Nakajima, T. Urai, Emi Komatsu, Nasruddin, J. Sugama, T. Nakatani   +6 more
semanticscholar   +1 more source

Ergonomic Sponge Electrodes From Recycled PEDOT:PSS

Advanced Electronic Materials, EarlyView.
ABSTRACT Emerging technologies in human–machine interfacing increasingly aim to develop solutions that naturally conform to the body's unique characteristics. Ergonomics and electrical performance in cutaneous sensing are crucial for accurate and reliable translation of biosignals.
Matías Ceballos, Wei‐Ting Ting, Susanne Thümmler, Esma Ismailova   +3 more
wiley   +1 more source

Cutaneous blood flow during intradermal NO administration in young and older adults: roles for calcium-activated potassium channels and cyclooxygenase?

American Journal of Physiology. Regulatory Integrative and Comparative Physiology, 2016
Naoto Fujii, R. Meade, C. Minson, Vienna E. Brunt, P. Boulay, R. Sigal, G. Kenny   +6 more
semanticscholar   +1 more source

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Annular Cutaneous Pili Migrans on the Scrotum: A Rare Clinical Presentation. [PDF]

Clin Case Rep
Yang J, Hui H.
europepmc   +1 more source

Cutaneous vascular and sweating responses to intradermal administration of ATP: a role for nitric oxide synthase and cyclooxygenase?

Journal of Physiology, 2015
Naoto Fujii, R. Mcginn, Lyra Halili, M. Singh, N. Kondo, G. Kenny   +5 more
semanticscholar   +1 more source

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

Advanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu, Ksenia Zlobina, Michael Briden, Oscar Avalos, Héctor Carrión, Sebastian Osorio, Hsin‐ya Yang, Alexandra Nava, Michelle D. Bagood, Marco Rolandi, Roslyn Rivkah Isseroff, Marcella Gomez   +11 more
wiley   +1 more source