AIMC Journal:
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Showing 21 to 30 of 55 articles

Smart nanoparticle vaccines integrate nanotechnology artificial intelligence and immunoengineering for precision immunization.

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The rise of multidrug-resistant microbes, rapidly evolving viruses, and recurring pandemics underscores the urgent need for advanced vaccine technologies. Nanoparticle-based vaccines have emerged as a transformative approach capable of overcoming the...

Machine learning based prediction of Williamson-Casson fluid flow with Cattaneo-Christov heat transfer over a curved stretching sheet.

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Accurate prediction of non-Newtonian nanofluid flow and heat transfer under melting heat conditions is essential for applications in advanced thermal management systems, polymer extrusion and coating processes, metallurgical melting operations, biome...

Seamless human electronics interfacing through advanced skin attachable and implantable sensor technologies.

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The transition from episodic clinical assessment to continuous physiological monitoring represents a transformative shift in biomedical engineering. This review comprehensively examines recent advancements in human-interfaced sensing systems, categor...

Heat transfer analysis of non-Newtonian hybrid nanofluid flow over a stretching surface using an artificial neural network.

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The present study investigates the role of Gold-Fe2O3-Fe3O4 nanoparticles mixed in blood with magnetohydrodynamics Casson fluid flow through a porous stretching surface along with Heat source/sink. In the present study considered Gold-Fe2O3-Fe3O4 are...

Physics-informed neural network analysis of kerosene-based penta-hybrid nanofluid flow and heat transfer.

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Kerosene oil-based penta-hybrid nanofluids have attracted significant attention because of their improved thermal conductivity, mechanical stability, and potential use in advanced heat transfer systems. In this study, a Physics-Informed Neural Networ...

Artificial intelligence driven multiphysics analysis of Casson bioconvective ternary nanofluid flow over an inclined needle.

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This study investigates the bio-convective flow of ternary Casson nanofluid across inclined moving thin needle embedded in a porous medium, considering Arrhenius activation energy and non-uniform heat generation/absorption. Such models are important ...

Machine learning-enhanced nano-QSAR and multiscale modeling for predictive nanomedicine: applications in herbal therapeutics and neglected tropical diseases.

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Nanomedicine has transformed targeted drug delivery, yet the complexity of nano-bio interactions continues to hinder rational nanoparticle design. Predictive computational approaches, particularly machine learning (ML), nano-quantitative structure-ac...

Xue model exploration for oxytactic microbes in radiative MHD hybrid nanoliquid using machine learning technique.

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The goal of this investigation is to thoroughly analyze and validate the proposed model by using the back-propagation Levenberg-Marquardt (BLM) methodology as an effective training strategy. The efficiency and precision of the suggested methodology h...

Flexible electronics research knowledge mapping based on VOSviewer and CiteSpace bibliometric analysis.

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Innovations in polymer chemistry and materials science have accelerated the development of high-performance flexible electronics for applications in various fields. While prior research has extensively reviewed progress within specialized subfields o...

Emerging paradigms in nanostructured targeted drug delivery systems.

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Nanostructured drug delivery systems have emerged as powerful and versatile approaches to overcome the limitations of conventional therapeutic strategies, including poor bioavailability, non-specific distribution, and dose-limiting toxicity. By enabl...