AIMC Topic: Viscosity
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A machine learning model exploring creep performance of dental composites.
Dental materials : official publication of the Academy of Dental Materials
Jun 3, 2025
OBJECTIVES: Viscoelastic creep behaviour of RBCs determines their dimensional stability and thus contributes to their clinical performance. However, due to complex material compositional variations and differing testing protocols, comparing and analy...
Deep learning-assisted 10-μL single droplet-based viscometry for human aqueous humor.
Biosensors & bioelectronics
May 2, 2025
Probing the viscosity of human aqueous humor is crucial for optimizing micro-tube shunts in glaucoma treatment. However, conventional viscometers are not suitable for aqueous humor due to the limited sample volume-only tens of microliters-that can be...
Leveraging multi-modal feature learning for predictions of antibody viscosity.
mAbs
Apr 11, 2025
The shift toward subcutaneous administration for biologic therapeutics has gained momentum due to its patient-friendly nature, convenience, reduced healthcare burden, and improved compliance compared to traditional intravenous infusions. However, a s...
Predicting rheological properties of HAMA/GelMA hybrid hydrogels via machine learning.
Journal of the mechanical behavior of biomedical materials
Apr 11, 2025
- 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...
Accelerating high-concentration monoclonal antibody development with large-scale viscosity data and ensemble deep learning.
mAbs
Apr 1, 2025
Highly concentrated antibody solutions are necessary for developing subcutaneous injections but often exhibit high viscosities, posing challenges in antibody-drug development, manufacturing, and administration. Previous computational models were only...
Liquid-bodied antibiofilm robot with switchable viscoelastic response for biofilm eradication on complex surface topographies.
Science advances
Mar 12, 2025
Recalcitrant biofilm infections pose a great challenge to human health. Micro- and nanorobots have been used to eliminate biofilm infections in hard-to-reach regions inside the body. However, applying antibiofilm robots under physiological conditions...
Extraction of pectin from watermelon rinds using sequential ultrasound-microwave technique: Optimization using RSM and ANN modeling and characterization.
International journal of biological macromolecules
Mar 8, 2025
This study aimed to optimize pectin extraction from watermelon (Citrullus lanatus) rind using sequential ultrasound-microwave assisted extraction (UMAE) with artificial neural network (ANN) and response surface methodology (RSM). The effects of pH, s...
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.)
Feb 21, 2025
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...
Monolithic electrostatic actuators with independent stiffness modulation.
Nature communications
Jan 30, 2025
Robotic artificial muscles, inspired by the adaptability of biological muscles, outperform rigid robots in dynamic environments due to their flexibility. However, the intrinsic compliance of the soft actuators restricts force transmission capacity an...
A neuromechanics solution for adjustable robot compliance and accuracy.
Science robotics
Jan 22, 2025
Robots have to adjust their motor behavior to changing environments and variable task requirements to successfully operate in the real world and physically interact with humans. Thus, robotics strives to enable a broad spectrum of adjustable motor be...
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