Results 161 to 170 of about 104,097 (280)

Deep Learning‐Powered Scalable Cancer Organ Chip for Cancer Precision Medicine

open access: yesAdvanced Science, EarlyView.
This scalable, low‐cost Organ Chip platform, made via injection molding, uses capillary pinning for hydrogel confinement and supports versatile tissue coculture and robust imaging. Deep learning enables label‐free, sensitive phenotypic analysis.
Yu‐Chieh Yuan   +24 more
wiley   +1 more source

Ultrasound Controlled‐Release Hydrogel Promotes Diabetic Wound Healing via Neuroimmune Modulation and Synergistic ROS Scavenging

open access: yesAdvanced Science, EarlyView.
This study presents an ultrasound‐responsive hydrogel (MCF@CA) that co‐delivers a neuropeptide (CGRP) and a ROS‐scavenging manganese porphyrin to diabetic wounds. The system restores neuro‐immune communication, reprograms macrophages toward an anti‐inflammatory phenotype, and clears excess ROS, thereby accelerating wound closure and promoting mature ...
Mofan Li   +9 more
wiley   +1 more source

Universal Solvent Escape Strategies for Efficient Curing of Hydrogen‐Bond‐Rich 3D Printing Inks

open access: yesAdvanced Science, EarlyView.
This study developed a new 3D printing method for hydrogen‐bonded polymers by combining solvent replacement, nanoparticles, and optimized printing paths. This allows fast, precise scaffold fabrication. The scaffolds can be easily customized and release therapeutic agents slowly through protonation, enabling personalized bone, blood vessel, and nerve ...
Jie Chen   +11 more
wiley   +1 more source

The information value of context for a mobile news service [PDF]

open access: yes, 2015
De Pessemier, Toon   +2 more
core   +2 more sources

Machine Learning‐Enhanced Analysis of Exosomal Surface Sialic Acid Using Surface‐Enhanced Raman Spectroscopy for Ovarian Cancer Diagnosis and Therapeutic Monitoring

open access: yesAdvanced Science, EarlyView.
Machine learning‐assisted surface‐enhanced Raman spectroscopy analysis of exosomal sialic acid for ovarian cancer diagnosis, as well as independent monitoring of exosomal sialic acid expression levels across different treatment periods, reveals a potential correlation with treatment response.
Lili Cong   +6 more
wiley   +1 more source

Microenvironment‐Guided Evolution of ssDNA‐SWCNT Probes for Selective Recognition of Aggressive Prostate Cancer Phenotypes

open access: yesAdvanced Science, EarlyView.
Random ssDNA–SWCNT(single strand DNA‐single walled carbon nanotube) library is functionally screened and evolved using high‐throughput 3D prostate tumor spheroids via iterative positive and negative selection, enabling the identification of NIR‐II fluorescent ssDNA‐SWCNT nanoprobe specific for prostate cancer.
Dakyeon Lee   +8 more
wiley   +1 more source

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