Results 211 to 220 of about 649,217 (300)

Self‐Healing Hydrogel‐Enabled Modular Assembly of Bilayered Skin Construct for Hair Follicle Regeneration

Advanced Healthcare Materials, EarlyView.
Self‐healing assembly of two cell‐laden hydrogel layers creates a biomimetic skin construct that restores both dermal and epidermal functions, resulting in accelerated wound healing and enhanced hair follicle regeneration in a full‐thickness skin wound model. ABSTRACT Alopecia remains a pervasive clinical challenge, largely owing to the limited ability
JaeWook Park, Su Yong Kim, MinSu Jeong, Beom Joon Kim, Shin Hyuk Kang, Won‐Gun Koh   +5 more
wiley   +1 more source

GELT: A graph embeddings based lite-transformer for knowledge tracing. [PDF]

PLoS One
Liang Z, Wu R, Liang Z, Yang J, Wang L, Su J.   +5 more
europepmc   +1 more source

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Fast protein structure searching using structure graph embeddings. [PDF]

Bioinform Adv
Greener JG, Jamali K.
europepmc   +1 more source

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Predicting gene disease associations with knowledge graph embeddings for diseases with curtailed information. [PDF]

NAR Genom Bioinform
Gualdi F, Oliva B, Piñero J.
europepmc   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Knowledge graph embeddings in the biomedical domain: are they useful? A look at link prediction, rule learning, and downstream polypharmacy tasks. [PDF]

Bioinform Adv
Gema AP, Grabarczyk D, De Wulf W, Borole P, Alfaro JA, Minervini P, Vergari A, Rajan A.   +7 more
europepmc   +1 more source

In Vivo Monitoring of Thrombo‐Inflammatory Biomarkers via Molecularly Imprinted Polymer‐Integrated Hydrogel Microneedles

Advanced Materials, EarlyView.
A wearable electrochemical microneedle patch integrates Prussian Blue redox transduction with molecularly imprinted polymer recognition for reagent‐free sampling and detection of thrombo‐inflammatory biomarkers in dermal interstitial fluid. The platform tracks thrombin and inflammatory cytokines with sensitive in vitro, ex vivo, and in vivo performance,
Mahmoud Ayman Saleh, Peyman GhavamiNejad, Arash Khorrami Jahromi, Sanjana Srikant, Sripadh Guptha Yedire, Fatemeh Keyvani, Roozbeh Siavash Moakhar, Sajad Shiekh, Mackenzie Graham, Joe Quadrilatero, Mahla Poudineh, Sara Mahshid   +11 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source