Results 101 to 110 of about 206,412 (267)
Advanced Functional Materials, EarlyView.This work presents a ligand‐pairing strategy that reconstructs lead sulfide quantum dot surfaces for efficient short‐wave infrared optoelectronics. A low‐reactivity thiourea precursor combined with hydrobromic acid enables monodisperse and fully passivated quantum dots.
Dongeon Kim +16 more
wiley +1 more source
Advanced Healthcare Materials, EarlyView.Engineered red blood cell‐derived extracellular vesicles (eRBCEVs) are synthesized via controlled microfluidic assembly from native RBC lipids, enabling tunable encapsulation of proteins, nucleic acids, nanoparticles, and viral vectors. The platform demonstrates reproducible nanoscale architecture, preserved membrane composition, and functional cargo ...
Chiranth K. Nagaraj +23 more
wiley +1 more source
Advanced Healthcare Materials, EarlyView.This study presents a bioengineered assembloid (ASM) system combining glioblastoma (GBM) cells in oxidized alginate (OA) microgels with dorsal organoids (DOs). This model simulates brain tumor‐host interactions, revealing enhanced GBM invasion, altered gene expression, and aggressive infiltration patterns, demonstrating ASM as a valuable platform for ...
Chao Liang +17 more
wiley +1 more source
Multidimensional Cellular Micro‐Compartments to Model Invasive Lobular Carcinoma Dormancy
Advanced Healthcare Materials, EarlyView.Invasive lobular carcinoma (ILC) is an understudied subtype of breast cancer that is susceptible to late recurrences. In this study, micro‐compartmentalization techniques spanning multiple dimensions, including 2D, pseudo‐3D, and 3D, are integrated to uncover the mechanisms underlying ILC dormancy, revealing the central role of p27Kip1.
Xilal Y. Rima +15 more
wiley +1 more source
Advanced Healthcare Materials, EarlyView.This review examines how cellular behavior is regulated by mechanical cues transmitted through soft biomaterials, from single‐cell mechanosensing to tissue‐level adaptation. It highlights why physiological relevance, rather than model complexity alone, is critical for translational mechanobiology and introduces a scoring framework linking material ...
Mathias Polz +9 more
wiley +1 more source
Advanced Healthcare Materials, EarlyView.What if human skin could remain fully alive and functional outside the body for weeks? A New Alternative Method (NAM) based on a vascularized full‐thickness skin microphysiological system achieves precisely this, preserving native vasculature, resident immunity, and metabolic activity for up to three weeks, while faithfully recapitulating radiation ...
Yusuf Surucu +13 more
wiley +1 more source
Encoded Cell‐Material Interactions to Reroute Cytokine Signaling for Regenerative Medicine
Advanced Healthcare Materials, EarlyView.We present native MATRIX (Material Activated To Regulate Inducible gene eXpression), a co‐engineered material‐cell platform. Surfaces functionalized with antibodies for endogenous soluble ligands (e.g., IL‐1β or IL‐6) capture and immobilize ligands for presentation to a cognate, engineered synthetic Notch receptor, releasing a transcription factor (TF)
Zachary M. Eidman +7 more
wiley +1 more source
Solvent‐Free Thermal Defect Engineering in Molecular Frameworks With Volatile Linkers
Advanced Materials, EarlyView.Thermal removal of neutral volatile linkers enables precise and solvent‐free generation of metal vacancies in MOFs. This strategy affords redox‐stable, coordinatively unsaturated FeII sites with tunable spin, ligand coordination, and catalytic behavior. The approach offers a general route to design defect‐functional materials through local coordination
Sonia Martínez‐Giménez +9 more
wiley +1 more source
Вестник Мининского университета, 2017 The article deals with the formation of professional competencies in students-bachelors. Identify common approaches to defining a set of competences in the state standards of Russia and Kazakhstan.
N. N. Demeneva, A. B. Akpayeva
doaj
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 +3 more
wiley +1 more source