Articles with "healthcare applications" as a keyword



Multifunctional Biomimetic Microstructured Surfaces for Healthcare Applications

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Published in 2022 at "Advanced Materials Interfaces"

DOI: 10.1002/admi.202201270

Abstract: Creatures in nature have evolved fascinating functions in the natural selection of superiority and inferiority to adapt to complex and harsh survival environments. Some special and excellent functions have been found to originate from the… read more here.

Keywords: microstructured surfaces; multifunctional biomimetic; surfaces healthcare; biomimetic microstructured ... See more keywords
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Multifunctional micro/nanomotors as an emerging platform for smart healthcare applications.

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Published in 2021 at "Biomaterials"

DOI: 10.1016/j.biomaterials.2021.121201

Abstract: Self-propelling micro- and nano-motors (MNMs) are emerging as a multifunctional platform for smart healthcare applications such as biosensing, bioimaging, and targeted drug delivery with high tissue penetration, stirring effect, and rapid drug transport. MNMs can… read more here.

Keywords: healthcare applications; platform smart; smart healthcare;

Recent advances in graphene-based electroanalytical devices for healthcare applications

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Published in 2024 at "Nanoscale"

DOI: 10.1039/d3nr06137j

Abstract: Graphene, with its outstanding mechanical, electrical, and biocompatible properties, stands out as an emerging nanomaterial for healthcare applications, especially in building electroanalytical biodevices. With the rising prevalence of chronic diseases and infectious diseases, such as… read more here.

Keywords: graphene based; healthcare applications; electroanalytical devices; healthcare ... See more keywords

Additive manufacturing for standard parts in the healthcare supply chain: What are the available performance improvements?

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Published in 2024 at "International Journal of Production Research"

DOI: 10.1080/00207543.2024.2434591

Abstract: Additive Manufacturing (AM) has established itself as a manufacturing technology for customised and personalised parts in healthcare applications. More recently its use in healthcare applications has been extended to also include standard parts, albeit to… read more here.

Keywords: additive manufacturing; healthcare applications; performance; parts healthcare ... See more keywords

Compact semi-flexible X/K/Ka band MIMO antenna for 5G IoT in healthcare applications

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Published in 2025 at "Journal of Electromagnetic Waves and Applications"

DOI: 10.1080/09205071.2025.2538188

Abstract: This work presents a semi-flexible two-element X/K/Ka band MIMO antenna system for 5G IoT in healthcare applications. Each MIMO element consists of a floret-shaped patch with a defective ground plane, designed using 0.508 mm thick… read more here.

Keywords: healthcare applications; iot healthcare; band; mimo antenna ... See more keywords

Integrating artificial intelligence in healthcare: applications, challenges, and future directions

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Published in 2025 at "Future Science OA"

DOI: 10.1080/20565623.2025.2527505

Abstract: Abstract Artificial intelligence (AI) has demonstrated remarkable potential in transforming medical diagnostics across various healthcare domains. This paper explores AI applications in cancer detection, dental medicine, brain tumor database management, and personalized treatment planning. AI… read more here.

Keywords: treatment; artificial intelligence; healthcare applications; healthcare ... See more keywords

Anonymous Authentication Scheme for Smart Cloud Based Healthcare Applications

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Published in 2018 at "IEEE Access"

DOI: 10.1109/access.2018.2841972

Abstract: Many smart healthcare applications are adopting cloud to provide services to patients. However, the sensitive data can be disclosed to the authentication server/service provider. Therefore, security and privacy are crucial to its success and deployment… read more here.

Keywords: healthcare applications; authentication scheme; authentication; anonymous authentication ... See more keywords

Reliable Data Collection in Participatory Trials to Assess Digital Healthcare Applications

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Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.2985122

Abstract: The number of digital healthcare mobile applications in the market is exponentially increasing owing to the development of mobile networks and widespread usage of smartphones. However, only few of these applications have been adequately validated.… read more here.

Keywords: data collection; digital healthcare; collection; reliable data ... See more keywords
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Dynamic Neural Graphs Based Federated Reptile for Semi-Supervised Multi-Tasking in Healthcare Applications

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Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"

DOI: 10.1109/jbhi.2021.3134835

Abstract: AI healthcare applications rely on sensitive electronic healthcare records (EHRs) that are scarcely labelled and are often distributed across a network of the symbiont institutions. It is challenging to train the effective machine learning models… read more here.

Keywords: dynamic neural; neural graphs; graphs based; healthcare ... See more keywords

Federated-Learning Based Privacy Preservation and Fraud-Enabled Blockchain IoMT System for Healthcare

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Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"

DOI: 10.1109/jbhi.2022.3165945

Abstract: These days, the usage of machine-learning-enabled dynamic Internet of Medical Things (IoMT) systems with multiple technologies for digital healthcare applications has been growing progressively in practice. Machine learning plays a vital role in the IoMT… read more here.

Keywords: healthcare applications; fraud; iomt system; healthcare ... See more keywords

CPU-GPU Cooperative QoS Optimization of Personalized Digital Healthcare Using Machine Learning and Swarm Intelligence.

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Published in 2022 at "IEEE/ACM transactions on computational biology and bioinformatics"

DOI: 10.1109/tcbb.2022.3207509

Abstract: In recent decades, the rapid advances in information technology have promoted a widespread deployment of medical cyber-physical systems (MCPS), especially in the area of digital healthcare. In digital healthcare, medical edge devices empowered by CPU-GPU (Graphics Processing… read more here.

Keywords: gpu cooperative; machine learning; digital healthcare; cpu gpu ... See more keywords