Results 131 to 140 of about 117,917 (289)
Drug‐Free Thrombolysis Mediated by Physically Activated Micro/Nanoparticles
Advanced Functional Materials, EarlyView.Overview of particle‐mediated thrombolytic effects (thermal, mechanical, and chemical) and their activating physical stimuli (light, ultrasound, and magnetic field) in drug‐free thrombolysis. ABSTRACT Thrombus‐associated disorders rank among the world's leading causes of death, with ischemic heart disease and stroke as the main contributors.
Pierre Sarfati +2 more
wiley +1 more source
Artificial Intelligence as the Next Visionary in Liquid Crystal Research
Advanced Functional Materials, EarlyView.The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam +2 more
wiley +1 more source
Amyloidogenic Peptide Fragments Designed From Bacterial Collagen‐like Proteins Form Hydrogel
Advanced Functional Materials, EarlyView.This study identified amyloidogenic sequence motifs in bacterial collagen‐like proteins and exploited these to design peptides that self‐assemble into β‐sheet fibers and form hydrogels. One hydrogel supported healthy fibroblast growth, showing promise for biocompatible materials. Our work demonstrates that bacterial sequences can be harnessed to create
Vamika Sagar +5 more
wiley +1 more source
Advanced Healthcare Materials, EarlyView.Patient‐specific induced pluripotent stem cells (iPSCs) can be differentiated into alveolar type II cells (iAT2s), expanded as 3D alveolospheres, and grown at physiologically relevant air–liquid interface (ALI). This study shows for the first time the infectability of iAT2s by the influenza A virus (IAV) and proves their responsiveness to the well ...
Lena Gauthier +7 more
wiley +1 more source
Subgraph Isomorphism Search in Massive Graph Databases
, 2016 Chemseddine Nabti, Hamida Seba
openalex +1 more source
Graph Neural Networks on Graph Databases
Training graph neural networks on large datasets has long been a challenge. Traditional approaches include efficiently representing the whole graph in-memory, designing parameter efficient and sampling-based models, and graph partitioning in a distributed setup. Separately, graph databases with native graph storage and query engines have been developed,
Lopushanskyy, Dmytro, Shi, Borun
openaire +2 more sources
Advanced Healthcare Materials, EarlyView.Decellularized liver extracellular matrix scaffolds provide a platform to study dormant liver‐metastatic colorectal cancer. They induce reversible dormancy, in combination with nutrient depletion and low dose chemotherapy, through cell cycle arrest and chemotherapy resistance.
Sabrina N. VandenHeuvel +13 more
wiley +1 more source
Designing solvent systems using self-evolving solubility databases and graph neural networks
, 2023 Yeonjoon Kim +4 more
openalex +2 more sources
Geometrically Tunable Scaffold‐Free Muscle Bioconstructs for Treating Volumetric Muscle Loss
Advanced Healthcare Materials, EarlyView.Volumetric muscle loss is associated with traumatic muscle resulting in permanent functional impairment. Mold‐based, scaffold‐free, high‐density muscle tissue bioconstructs are developed in customizable geometric shapes and sizes. The transplanted rectangular solid‐shaped muscle bioconstructs improved muscle force recovery and tissue regeneration in ...
Bugra Ayan +8 more
wiley +1 more source
Representing and querying disease networks using graph databases. [PDF]
BioData Min, 2016 Lysenko A +5 more
europepmc +1 more source