Results 131 to 140 of about 869,216 (289)

Precise Control of Drug Release in Machine Learning‐Designed Antibody‐Eluting Implants for Postoperative Scarring Inhibition in Glaucoma

open access: yesAdvanced Healthcare Materials, EarlyView.
We developed a micro‐sized, biocompatible implant for postoperative sustained delivery of anti‐fibrotic antibodies in glaucoma surgery. Machine learning‐guided optimization of polymer composition, implant geometry, and porosity enabled precise control of drug release.
Mengqi Qin   +5 more
wiley   +1 more source

Peptomer Linkers Enable Kinetic Control over Co‐Delivery of Multiple Chemotherapeutics

open access: yesAdvanced Healthcare Materials, EarlyView.
A key challenge in combinatorial chemotherapeutic drug delivery is independent control over release kinetics, especially with drugs of similar size and structure. Here, peptoid substitutions to proteolytically degradable peptides enabled the design of fast and slow‐releasing drug linkers.
Carolyn M. Watkins   +3 more
wiley   +1 more source

In Vivo Skin 3‐D Surface Reconstruction and Wrinkle Depth Estimation Using Handheld High Resolution Tactile Sensing

open access: yesAdvanced Healthcare Materials, EarlyView.
A compact handheld GelSight probe reconstructs in vivo 3‐D skin topography with micron‐level precision using a custom elastic gel and a learning‐based surface normal to height map pipeline. The device quantifies wrinkle depth across various body locations and detects changes in wrinkle depth following moisturizer application.
Akhil Padmanabha   +12 more
wiley   +1 more source

Prediction of ground state charge radius using support vector regression

open access: yesNew Journal of Physics
We systematically investigate the prediction of nuclear charge radii using a support vector regression (SVR) model in machine learning(ML), specifically employing a radial basis function (RBF) kernel. Our model is designed to capture the global structure
Amir Jalili, Ai-Xi Chen
doaj   +1 more source

Engineered ETS1‐Nanoconjugate Restores Immune Homeostasis through Dual Immune‐Vascular Modulation in Relapsing and Progressive Multiple Sclerosis

open access: yesAdvanced Healthcare Materials, EarlyView.
The biomimetic nanoplatform IMNP (ETS1 pDNA/PBAE@ITP‐MM) undergoes targeted disassembly at inflammatory vascular sites to release the ETS1 plasmid (pETS1). This release initiates a cascade of effects that inhibit pathogenic pathways and support immune homeostasis. (Abbreviations: EndMT, endothelial‐to‐mesenchymal transition; EC, endothelial cell; TC, T
Feng Zhang   +13 more
wiley   +1 more source

Nanotherapies for Atherosclerosis: Targeting, Catalysis, and Energy Transduction

open access: yesAdvanced Healthcare Materials, EarlyView.
Atherosclerosis management is hindered by poor drug targeting and plaque heterogeneity. Nanotechnology overcomes these barriers via three core strategies: (1) target‐engineered nanocarriers that achieve lesion‐specific precision via ligand modification, biomimetic camouflage, stimuli‐responsive release, and self‐propelling nanomotors; (2) catalytic ...
Yuqi Yang   +4 more
wiley   +1 more source

Plant‐Produced Viral Nanoparticles Decorated with Nanobodies Against HER2 Improve Retention and Recruitment of Immune Cells in Solid Tumors

open access: yesAdvanced Healthcare Materials, EarlyView.
Potato virus X is a filamentous RNA plant virus that can be engineered into a molecular tool for cancer therapy. We produced genetically‐encoded virus‐derived nanoparticles decorated with nanobodies targeting cancer cell receptors, epidermal growth factor receptor (EGFR) and human epidermal growth factor 2 (HER2).
Enrique Lozano‐Sanchez   +4 more
wiley   +1 more source

Unveiling the Role of Curvature in Carbon for Improved Energy Release of Ammonium Perchlorate

open access: yesAdvanced Materials, EarlyView.
High‐curvature carbon materials identified via machine learning and simulation can enhance the heat release and combustion performance of ammonium perchlorate. ABSTRACT The catalytic role of carbon curvature in the thermal decomposition of ammonium perchlorate (AP) remains largely unexplored. To address this gap, this study employs machine learning and
Dan Liu   +8 more
wiley   +1 more source

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

open access: yesAdvanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll   +19 more
wiley   +1 more source

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