AIMC Topic: Rheology
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Development and Validation of a Deep Learning System for Sound-based Prediction of Urinary Flow.
European urology focus
Jul 11, 2022
BACKGROUND: Uroflowmetry remains an important tool for the assessment of patients with lower urinary tract symptoms (LUTS), but accuracy can be limited by within-subject variation of urinary flow rates. Voiding acoustics appear to correlate well with...
Rapid Temperature-Dependent Rheological Measurements of Non-Newtonian Solutions Using a Machine-Learning Aided Microfluidic Rheometer.
Analytical chemistry
Feb 15, 2022
Biofluids such as synovial fluid, blood plasma, and saliva contain several proteins which impart non-Newtonian properties to the biofluids. The concentration of such protein macromolecules in biofluids is regarded as an important biomarker for the di...
Ultrasound deep learning for monitoring of flow-vessel dynamics in murine carotid artery.
Ultrasonics
Nov 9, 2021
Several arterial diseases are closely related with mechanical properties of the blood vessel and interactions of flow-vessel dynamics such as mean flow velocity, wall shear stress (WSS) and vascular strain. However, there is an opportunity to improve...
Cell Mechanics Based Computational Classification of Red Blood Cells Via Machine Intelligence Applied to Morpho-Rheological Markers.
IEEE/ACM transactions on computational biology and bioinformatics
Aug 6, 2021
Despite fluorescent cell-labelling being widely employed in biomedical studies, some of its drawbacks are inevitable, with unsuitable fluorescent probes or probes inducing a functional change being the main limitations. Consequently, the demand for a...
Machine learning enables design automation of microfluidic flow-focusing droplet generation.
Nature communications
Jan 4, 2021
Droplet-based microfluidic devices hold immense potential in becoming inexpensive alternatives to existing screening platforms across life science applications, such as enzyme discovery and early cancer detection. However, the lack of a predictive un...
Flow driven robotic navigation of microengineered endovascular probes.
Nature communications
Dec 22, 2020
Minimally invasive medical procedures, such as endovascular catheterization, have considerably reduced procedure time and associated complications. However, many regions inside the body, such as in the brain vasculature, still remain inaccessible due...
Lignin-Incorporated Nanogel Serving As an Antioxidant Biomaterial for Wound Healing.
ACS applied bio materials
Oct 1, 2020
Oxidative phosphorylation is an important biological process in the body to produce energy, during which oxygen free radicals are generated as byproduct. Excessive oxygen free radicals cause cell death and reduce the rate of tissue regeneration and h...
Machine learning-based design strategy for 3D printable bioink: elastic modulus and yield stress determine printability.
Biofabrication
May 28, 2020
Although three-dimensional (3D) bioprinting technology is rapidly developing, the design strategies for biocompatible 3D-printable bioinks remain a challenge. In this study, we developed a machine learning-based method to design 3D-printable bioink u...
Flowfields produced by a robotic sea lion foreflipper starting from rest.
Bioinspiration & biomimetics
Mar 3, 2020
Sea lions swim using primarily their foreflippers, which is uncommon among aquatic mammals. While a significant body of literature exists which investigates the hydrodynamics of body-caudal swimming, relatively little research has looked at sea lion ...
Deep Learning-Based Super-resolution Ultrasound Speckle Tracking Velocimetry.
Ultrasound in medicine & biology
Jan 6, 2020
Deep ultrasound localization microscopy (deep-ULM) allows sub-wavelength resolution imaging with deep learning. However, the injection of contrast agents (CAs) in deep-ULM is debatable because of their potential risk. In this study, we propose a deep...
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