AIMC Topic: Rheology

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AI-powered printability evaluation framework for 3D bioprinting using Hausdorff distance metrics.

Biofabrication
3D bioprinting enables rapid fabrication of complex biological structures for tissue engineering applications. However, optimizing bioink formulation remains challenging due to complex relationships among material properties, printability, and cell v...

Coupled jet coordination and physical arrangement in salp-inspired multi-robot swimming.

Bioinspiration & biomimetics
Salps are underwater invertebrates considered to be among the world's most energy-efficient examples of jet propulsion. They can swim as solitary individuals or as physically connected colonies, coordinating their jets to produce collective movement....

Engineering the Future: Applying Hyaluronic Acid Filler Rheology for Enhanced Efficacy in Aesthetic Applications.

Plastic and reconstructive surgery
The 21st-century evolution of hyaluronic acid fillers has brought a diversity of novel aesthetic applications, ranging from static bony augmentation and volume correction to dynamic rhytid effacement and skin revitalization. This rapid advancement ha...

Miniaturized Fiber-End Probe for Laser Speckle Rheology of Atherosclerotic Plaque.

ACS applied materials & interfaces
Atherosclerosis is a primary cause of cardiovascular disease, with plaque viscoelasticity reflecting mechanical properties related to stability and acute event risk. However, existing viscoelastic measurement devices struggle to meet intravascular mi...

Machine learning framework for investigating nano- and micro-scale particle diffusion in colonic mucus.

Journal of nanobiotechnology
Biosimilar artificial mucus models that mimic native mucus facilitate efficient, lab-based drug diffusion studies, addressing the costly and challenging preclinical phase of drug development, especially for nano- and micro-scale particle-based coloni...

Biofabrication of HepG2 Cells-Laden 3D Structures Using Nanocellulose-Reinforced Gelatin-Based Hydrogel Bioinks: Materials Characterization, Cell Viability Assessment, and Metabolomic Analysis.

ACS biomaterials science & engineering
The successful replication of the intricate architecture of human tissues remains a major challenge in the biomedical area. Three-dimensional (3D) bioprinting has emerged as a promising approach for the biofabrication of living tissue analogues, taki...

Predicting rheological properties of HAMA/GelMA hybrid hydrogels via machine learning.

Journal of the mechanical behavior of biomedical materials
- Rheological properties are pivotal in determining the printability of biomaterials, directly impacting the success of 3D bioprinted constructs. Understanding the intricate relationship between biomaterial formulations, rheological behavior and prin...

Deep learning combined Monte Carlo simulation reveal the fundamental light propagation in apple puree: Monitoring the quality changes from different cultivar, storage period and heating duration.

Food research international (Ottawa, Ont.)
This work explored the light propagation of purees from a large variability of apple cultivar, storage period and heating duration based on their optical absorption (μ) and reduced scattering (μ') properties at 900-1650 nm, in order to better monitor...

Sensory-biased autoencoder enables prediction of texture perception from food rheology.

Food research international (Ottawa, Ont.)
Understanding how the physical properties of food affect sensory perception remains a critical challenge for food design. Here, we present an innovative machine learning strategy to decode the complex relationships between non-Newtonian rheological a...

High-resolution hemodynamic estimation from ultrafast ultrasound image velocimetry using a physics-informed neural network.

Physics in medicine and biology
Estimating the high-resolution (HR) blood flow velocity and pressure fields for the diagnosis and treatment of vascular diseases remains challenging.. In this study, a physics-informed neural network (PINN) with a refined mapping capability was combi...