AI-based prediction of flow dynamics of blood blended with gold and maghemite nanoparticles in an electromagnetic microchannel under abruptly changes in pressure gradient DOI
Poly Karmakar,

Sukanya Das,

Sanatan Das

et al.

Electromagnetic Biology and Medicine, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 31

Published: May 13, 2025

In cardiovascular research, electromagnetic fields (EMFs) induced by Riga plates are applied to study and potentially manipulate blood flow dynamics, offering insights for therapies against arterial plaque deposition understanding varied behaviors. This research focuses on predicting the patterns of infused with gold maghemite nanoparticles (gold-maghemite/blood) inside an EM microchannel under these influences abruptly change in pressure gradient. The models flows considering radiation heat emission Darcy drag forces within porous media. Mathematical representation involves time-variant partial differential equations, resolved through Laplace transform (LT) yield compact-form expressions model variables. outcomes, including shear stress (SS) rate transfer (RHT) across microchannel, analyzed displayed graphically, highlighting effects modified Hartmann number electrode width parameters. Hybrid nano-blood (HNB) (NB) exhibit distinct thermal characteristics, HNB transferring more flow. These implements a cutting-edge AI-powered approach high-fidelity evaluation critical parameters, achieving unprecedented prediction accuracy. Validation results confirm algorithm's excellence, SS predictions reaching 99.552% (testing) 97.019% (cross-validation) accuracy, while RHT show 100% testing accuracy 97.987% cross-validation reliability. convergence nanotechnology advanced machine learning paves way transformative clinical applications that could redefine standards care surgical oncology, interventional cardiology, therapeutic radiology. underpins potential such as controlled drug release magnetic fluid hyperthermia, enhancing procedures like cardiopulmonary bypass, vascular surgery, diagnostic imaging.

Language: Английский

AI-based prediction of flow dynamics of blood blended with gold and maghemite nanoparticles in an electromagnetic microchannel under abruptly changes in pressure gradient DOI
Poly Karmakar,

Sukanya Das,

Sanatan Das

et al.

Electromagnetic Biology and Medicine, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 31

Published: May 13, 2025

In cardiovascular research, electromagnetic fields (EMFs) induced by Riga plates are applied to study and potentially manipulate blood flow dynamics, offering insights for therapies against arterial plaque deposition understanding varied behaviors. This research focuses on predicting the patterns of infused with gold maghemite nanoparticles (gold-maghemite/blood) inside an EM microchannel under these influences abruptly change in pressure gradient. The models flows considering radiation heat emission Darcy drag forces within porous media. Mathematical representation involves time-variant partial differential equations, resolved through Laplace transform (LT) yield compact-form expressions model variables. outcomes, including shear stress (SS) rate transfer (RHT) across microchannel, analyzed displayed graphically, highlighting effects modified Hartmann number electrode width parameters. Hybrid nano-blood (HNB) (NB) exhibit distinct thermal characteristics, HNB transferring more flow. These implements a cutting-edge AI-powered approach high-fidelity evaluation critical parameters, achieving unprecedented prediction accuracy. Validation results confirm algorithm's excellence, SS predictions reaching 99.552% (testing) 97.019% (cross-validation) accuracy, while RHT show 100% testing accuracy 97.987% cross-validation reliability. convergence nanotechnology advanced machine learning paves way transformative clinical applications that could redefine standards care surgical oncology, interventional cardiology, therapeutic radiology. underpins potential such as controlled drug release magnetic fluid hyperthermia, enhancing procedures like cardiopulmonary bypass, vascular surgery, diagnostic imaging.

Language: Английский

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