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Capsules

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Self-Assembled Polyurethane Capsules with Selective Antimicrobial Activity against Gram-Negative .

ACS biomaterials science & engineering
This article reports the antimicrobial activity of two segmented amphiphilic polyurethanes, PU-1 and PU-2, containing a primary or secondary amine group, respectively. In acidic water, intrachain H-bonding among the urethanes followed by hierarchical...

Capsules for biomedical image segmentation.

Medical image analysis
Our work expands the use of capsule networks to the task of object segmentation for the first time in the literature. This is made possible via the introduction of locally-constrained routing and transformation matrix sharing, which reduces the param...

Deep Learning-Enabled Label-Free On-Chip Detection and Selective Extraction of Cell Aggregate-Laden Hydrogel Microcapsules.

Small (Weinheim an der Bergstrasse, Germany)
Microfluidic encapsulation of cells/tissues in hydrogel microcapsules has attracted tremendous attention in the burgeoning field of cell-based medicine. However, when encapsulating rare cells and tissues (e.g., pancreatic islets and ovarian follicles...

A neural network-based algorithm for high-throughput characterisation of viscoelastic properties of flowing microcapsules.

Soft matter
Microcapsules, consisting of a liquid droplet enclosed by a viscoelastic membrane, have a wide range of biomedical and pharmaceutical applications and also serve as a popular mechanical model for biological cells. In this study, we develop a novel hi...

Graph routing between capsules.

Neural networks : the official journal of the International Neural Network Society
Routing methods in capsule networks often learn a hierarchical relationship for capsules in successive layers, but the intra-relation between capsules in the same layer is less studied, while this intra-relation is a key factor for the semantic under...

Pose tracking method using magnetic excitations with frequency division for robotic endoscopic capsules.

Biomedical microdevices
The poses of robotic endoscopic capsules are indispensable for further follow-up examinations, potential targeted drug delivery, and closed-loop controlling of active locomotion. A novel tracking method using the multiple magnetic excitations with fr...

A method for real-time mechanical characterisation of microcapsules.

Biomechanics and modeling in mechanobiology
Characterising the mechanical properties of flowing microcapsules is important from both fundamental and applied points of view. In the present study, we develop a novel multilayer perceptron (MLP)-based machine learning (ML) approach, for real-time ...

A Strategy based on Bioinformatics and Machine Learning Algorithms Reveals Potential Mechanisms of Shelian Capsule against Hepatocellular Carcinoma.

Current pharmaceutical design
BACKGROUND: Hepatocellular carcinoma (HCC) is a prevalent and life-threatening form of cancer, with Shelian Capsule (SLC), a traditional Chinese medicine (TCM) formulation, being recommended for clinical treatment. However, the mechanisms underlying ...

AI-driven design of customized 3D-printed multi-layer capsules with controlled drug release profiles for personalized medicine.

International journal of pharmaceutics
Personalized medicine aims to effectively and efficiently provide customized drugs that cater to diverse populations, which is a significant yet challenging task. Recently, the integration of artificial intelligence (AI) and three-dimensional (3D) pr...

Robotic Microcapsule Assemblies with Adaptive Mobility for Targeted Treatment of Rugged Biological Microenvironments.

ACS nano
Microrobots are poised to transform biomedicine by enabling precise, noninvasive procedures. However, current magnetic microrobots, composed of solid monolithic particles, present fundamental challenges in engineering intersubunit interactions, limit...