Applications of nanotechnology in medical field: a brief review

Global Health Journal, Год журнала: 2023, Номер 7(2), С. 70 - 77

Опубликована: Фев. 25, 2023

Nanotechnology has extensive application as nanomedicine in the medical field. Some nanoparticles have possible applications novel diagnostic instruments, imagery and methodologies, targeted medicinal products, pharmaceutical biomedical implants, tissue engineering. Today treatments of high toxicity can be administered with improved safety using nanotechnology, such chemotherapeutic cancer drugs. Further, wearable gadgets detect crucial changes vital signs, cell conditions, infections that are genuinely happening body. We anticipate these technologies to provide doctors considerably much better direct access critical data on reasons for signs life or illness because technological presence at source problem. Biomedicine utilised therapies predictive analytics artificial intelligence. For carrying out this study, relevant papers field from Scopus, Google scholar, ResearchGate, other research platforms identified studied. The study discusses different types Nanoparticles used This paper nanotechnology class, features, characteristics medicine also briefed. Scientists, governments, civil society organisations, general public will need collaborate across sectors assess significance guide its advancement various fields. current includes several uses As a result, provides brief well-organised report should valuable researchers, engineers, scientists future projects.

Язык: Английский

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State of Industry 5.0—Analysis and Identification of Current Research Trends

Applied System Innovation, Год журнала: 2022, Номер 5(1), С. 27 - 27

Опубликована: Фев. 17, 2022

The term Industry 4.0, coined to be the fourth industrial revolution, refers a higher level of automation for operational productivity and efficiency by connecting virtual physical worlds in an industry. With 4.0 being unable address meet increased drive personalization, 5.0 was addressing personalized manufacturing empowering humans processes. onset is observed have various views how it defined what constitutes reconciliation between machines. This serves as motivation this paper identifying analyzing themes research trends using text mining tools techniques. Toward this, abstracts 196 published papers based on keyword “Industry 5.0” search IEEE, science direct MDPI data bases were extracted. Data cleaning preprocessing performed further analysis apply techniques key terms extraction frequency analysis. Further topic i.e., unsupervised machine learning method used exploring data. It that artificial intelligence (AI), big data, supply chain, digital transformation, learning, internet things (IoT), are among most often several enablers been identified researchers 5.0. Five major addressing, chain evaluation optimization, enterprise innovation digitization, smart sustainable manufacturing, transformation driven IoT, AI, Big Data, Human-machine connectivity classified literature, highlighting can explored. theme gateway towards human co-existence gaining more interest community recent years.

Язык: Английский

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Emerging Applications of Nanotechnology in Healthcare and Medicine

Molecules, Год журнала: 2023, Номер 28(18), С. 6624 - 6624

Опубликована: Сен. 14, 2023

Knowing the beneficial aspects of nanomedicine, scientists are trying to harness applications nanotechnology in diagnosis, treatment, and prevention diseases. There also potential uses designing medical tools processes for new generation scientists. The main objective conducting this research review is gather widespread nanomedicine under one heading highlight standard practices field. Comprehensive has been conducted incorporate latest data related medicine therapeutics derived from acknowledged scientific platforms. Nanotechnology used conduct sensitive procedures. showing successful fields diagnostics, disease regenerative medicine, gene therapy, dentistry, oncology, aesthetics industry, drug delivery, therapeutics. A thorough association cooperation between physicians, clinicians, researchers, technologies will bring forward a future where there more calculated, outlined, technically programed field nanomedicine. Advances being made overcome challenges associated with application due pathophysiological basis This highlights multipronged how proving health industry. need minimize health, environmental, ethical concerns linked nanotechnology.

Язык: Английский

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Explainable AI for Healthcare 5.0: Opportunities and Challenges

IEEE Access, Год журнала: 2022, Номер 10, С. 84486 - 84517

Опубликована: Янв. 1, 2022

In the healthcare domain, a transformative shift is envisioned towards Healthcare 5.0. It expands operational boundaries of 4.0 and leverages patient-centric digital wellness. 5.0 focuses on real-time patient monitoring, ambient control wellness, privacy compliance through assisted technologies like artificial intelligence (AI), Internet-of-Things (IoT), big data, networking channels. However, procedures, verifiability prediction models, resilience, lack ethical regulatory frameworks are potential hindrances to realization Recently, explainable AI (EXAI) has been disruptive trend in that explainability traditional models by leveraging decision-making outputs. The factor opens new opportunities black-box brings confidence stakeholders interpret machine learning (ML) deep (DL) models. EXAI focused improving clinical health practices transparency predictive analysis, which crucial domain. Recent surveys have not significantly data analysis interpretation lowers its practical deployment opportunities. Owing gap, proposed survey explicitly details requirements 5.0, collection process. Based review method presented research questions, systematically, article unfolds architecture presents an ensemble computerized tomography (CT) image classification segmentation A solution taxonomy proposed, challenges presented. supported case study electrocardiogram (ECG) monitoring preserves local via federated (FL) for metric validation. case-study experimental proves efficacy setups envisions real-life model deployments wide range applications.

Язык: Английский

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A secure healthcare 5.0 system based on blockchain technology entangled with federated learning technique

Computers in Biology and Medicine, Год журнала: 2022, Номер 150, С. 106019 - 106019

Опубликована: Сен. 21, 2022

In recent years, the global Internet of Medical Things (IoMT) industry has evolved at a tremendous speed. Security and privacy are key concerns on IoMT, owing to huge scale deployment IoMT networks. Machine learning (ML) blockchain (BC) technologies have significantly enhanced capabilities facilities healthcare 5.0, spawning new area known as "Smart Healthcare." By identifying early, smart system can help avoid long-term damage. This will enhance quality life for patients while reducing their stress costs. The enables range functionalities in field information technology, one which is interactive health care. However, combining medical data into single storage location train powerful machine model raises about privacy, ownership, compliance with greater concentration. Federated (FL) overcomes preceding difficulties by utilizing centralized aggregate server disseminate model. Simultaneously, local participant keeps control patient information, assuring confidentiality security. article conducts comprehensive analysis findings technology entangled federated healthcare. 5.0. purpose this study construct secure monitoring 5.0 Intrusion Detection System (IDS) detect any malicious activity network physicians monitor through sensors take necessary measures periodically predicting diseases. proposed demonstrates that approach optimized effectively monitoring. contrast, FL Approach achieves 93.22% accuracy disease prediction, RTS-DELM-based 96.18% estimation intrusion detection.

Язык: Английский

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Industry 5.0 for Healthcare 5.0: Opportunities, Challenges and Future Research Possibilities

2022 6th International Conference on Trends in Electronics and Informatics (ICOEI), Год журнала: 2023, Номер unknown, С. 204 - 213

Опубликована: Апрель 11, 2023

Industry 5.0 is the subsequent stage in development of manufacturing and production systems that combines cutting-edge technology with human intelligence skills. The healthcare sector has been developing over time, going through significant changes at every stage. emerging idea sector, also known as Healthcare 5.0-and its potential applications are examined this study. makes use technologies to revolutionise delivery, improve patient outcomes, experience a whole. places strong emphasis on integration humans, machines, industry. study discusses 5.0's potentials opportunities, including personalised medicine, sophisticated diagnostics, telemedicine, more patient-centric care, all which made possible by application like Artificial Intelligence (AI), blockchain, big data analytics, robotics. difficulties problems must be solved for implemented successfully, security privacy, ethical legal issues, need appropriate skills training professionals, cost-effectiveness.

Язык: Английский

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Artificial Intelligence of Things for Smarter Healthcare: A Survey of Advancements, Challenges, and Opportunities

IEEE Communications Surveys & Tutorials, Год журнала: 2023, Номер 25(2), С. 1261 - 1293

Опубликована: Янв. 1, 2023

Healthcare systems are under increasing strain due to a myriad of factors, from steadily ageing global population the current COVID-19 pandemic. In world where we have needed be connected but apart, need for enhanced remote and at-home healthcare has become clear. The Internet Things (IoT) offers promising solution. IoT created highly world, with billions devices collecting communicating data range applications, including healthcare. Due these high volumes data, natural synergy Artificial Intelligence (AI) apparent – big both enables requires AI interpret, understand, make decisions that provide optimal outcomes. this extensive survey, thoroughly explore through an examination field (AIoT) This work begins by briefly establishing unified architecture AIoT in context, sensors devices, novel communication technologies, cross-layer AI. We then examine recent research pertaining each component several key perspectives, identifying challenges, opportunities unique Several examples real-world use cases presented illustrate potential technologies. Lastly, outlines directions future

Язык: Английский

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A Novel Framework on Security and Energy Enhancement Based on Internet of Medical Things for Healthcare 5.0

Infrastructures, Год журнала: 2023, Номер 8(2), С. 22 - 22

Опубликована: Фев. 2, 2023

Background: The Internet of Medical Things, often known as IoMT, is a revolutionary method connecting medical equipment and the software that operates on it to computer networks are used in healthcare 5.0. rapid development smart devices IoMT platforms has led adoption major technologies modernization procedures, administration diseases, improvement patient treatment standards. offers variety cloud-based applications, including data exchange, screening, surveillance, information collection analysis, hygienic hospital attention. Wireless sensor (WSNs) responsible for both gathering delivery data. Method: safety patients their right privacy top priorities sector. Anyone may see modify patient’s health because from these gadgets sent wirelessly through airways. Hence, we developed unique elliptic curve cryptography-based energy-efficient routing protocol (ECC-EERP) provide high level security energy efficient system Data can be encrypted using key-based ECC-EERP. It employs pairs public private keys decrypt encrypts web traffic reducse amount needed by WSN aggregate. Result Discussion: efficiency suggested was evaluated comparison with existing methods. use many parameters such security, encryption throughput, efficiency, network lifetime, communication overload, computation time, implementation cost. results showed proposed technique provides enhanced efficiency.

Язык: Английский

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Internet of Medical Things Healthcare for Sustainable Smart Cities: Current Status and Future Prospects

Applied Sciences, Год журнала: 2023, Номер 13(15), С. 8869 - 8869

Опубликована: Авг. 1, 2023

The concept of smart and connected healthcare has emerged in response to the growing demand for improvement systems increasing prevalence chronic diseases. Looking towards future, holds great potential transform industry by providing more efficient, personalized, accessible services. This paper delves into intelligent, interconnected, customized within Internet Medical Things (IoMT) framework. It explores utilization cutting-edge technologies, including IoMT, conjunction with big data, cloud computing, artificial intelligence, blockchain provide services that are not only efficient but also convenient personalized. draws on existing literature, bibliometric global marketing analysis gain a deeper understanding these technologies their impact system. We have explored several upcoming features Healthcare 5.0 paradigm, which represents next evolution focusing personalized patient-centric approach. introduce architecture specifically designed IoMT prioritizes security considerations associated devices. Finally, we focused addressing open research challenges, particularly those related fundamental social needs, such as ensuring equitable access systems.

Язык: Английский

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Multirole of the internet of medical things (IoMT) in biomedical systems for managing smart healthcare systems: An overview of current and future innovative trends

Journal of Infection and Public Health, Год журнала: 2024, Номер 17(4), С. 559 - 572

Опубликована: Янв. 22, 2024

Internet of Medical Things (IoMT) is an emerging subset (IoT), often called as IoT in healthcare, refers to medical devices and applications with internet connectivity, exponentially gaining researchers' attention due its wide-ranging applicability biomedical systems for Smart Healthcare systems. IoMT facilitates remote health system plays a crucial role within the healthcare industry enhance precision, reliability, consistency productivity electronic used various purposes. It comprises conceptualized architecture providing information retrieval strategies extract data from patient records using sensors analysis diagnostics against manifold diseases provide cost-effective solutions, quick hospital treatments, personalized healthcare. This article provides comprehensive overview special emphasis on current future trends systems, such deep learning, machine blockchains, artificial intelligence, radio frequency identification, 5.0.

Язык: Английский

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