Porous Conductive Textiles for Wearable Electronics

Chemical Reviews, Год журнала: 2024, Номер 124(4), С. 1535 - 1648

Опубликована: Фев. 19, 2024

Over the years, researchers have made significant strides in development of novel flexible/stretchable and conductive materials, enabling creation cutting-edge electronic devices for wearable applications. Among these, porous textiles (PCTs) emerged as an ideal material platform electronics, owing to their light weight, flexibility, permeability, wearing comfort. This Review aims present a comprehensive overview progress state art utilizing PCTs design fabrication wide variety integrated systems. To begin with, we elucidate how revolutionize form factors electronics. We then discuss preparation strategies PCTs, terms raw processes, key properties. Afterward, provide detailed illustrations are used basic building blocks fabricate intrinsically flexible or stretchable devices, including sensors, actuators, therapeutic energy-harvesting storage displays. further describe techniques systems either by hybridizing conventional off-the-shelf rigid components with integrating multiple fibrous PCTs. Subsequently, highlight some important application scenarios healthcare, sports training, converging technologies, professional specialists. At end Review, challenges perspectives on future research directions give overall conclusions. As demand more personalized interconnected continues grow, PCT-based wearables hold immense potential redefine landscape technology reshape way live, work, play.

Язык: Английский

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Revolutionizing healthcare and medicine: The impact of modern technologies for a healthier future—A comprehensive review

Health care science, Год журнала: 2024, Номер 3(5), С. 329 - 349

Опубликована: Окт. 1, 2024

Abstract The increasing integration of new technologies is driving a fundamental revolution in the healthcare sector. Developments artificial intelligence (AI), machine learning, and big data analytics have completely transformed diagnosis, treatment, care patients. AI‐powered solutions are enhancing efficiency accuracy delivery by demonstrating exceptional skills personalized medicine, early disease detection, predictive analytics. Furthermore, telemedicine remote patient monitoring systems overcome geographical constraints, offering easy accessible services, particularly underserved areas. Wearable technology, Internet Medical Things, sensor empowered individuals to take an active role tracking managing their health. These devices facilitate real‐time collection, enabling preventive care. Additionally, development 3D printing technology has revolutionized medical field production customized prosthetics, implants, anatomical models, significantly impacting surgical planning treatment strategies. Accepting these advancements holds potential create more patient‐centered, efficient system that emphasizes individualized care, better overall health outcomes. This review's novelty lies exploring how radically transforming industry, paving way for effective all. It highlights capacity modern revolutionize addressing long‐standing challenges improving Although approval use digital advanced analysis face scientific regulatory obstacles, they translational research. as continue evolve, poised alter environment, sustainable, efficient, ecosystem future generations. Innovation across multiple fronts will shape revolutionizing provision healthcare, outcomes, equipping both patients professionals with tools make decisions receive treatment. As develop become integrated into standard practices, probably be accessible, effective, than ever before.

Язык: Английский

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Recent advances in medical gas sensing with artificial intelligence–enabled technology

Medical Gas Research, Год журнала: 2025, Номер 15(2), С. 318 - 326

Опубликована: Янв. 18, 2025

Recent advancements in artificial intelligence–enabled medical gas sensing have led to enhanced accuracy, safety, and efficiency healthcare. Medical gases, including oxygen, nitrous oxide, carbon dioxide, are essential for various treatments but pose health risks if improperly managed. This review highlights the integration of intelligence sensing, enhancing traditional sensors through advanced data processing, pattern recognition, real-time monitoring capabilities. Artificial improves ability detect harmful levels, enabling immediate intervention prevent adverse effects. Moreover, developments nanotechnology resulted materials, such as metal oxides carbon-based nanomaterials, which increase sensitivity selectivity. These innovations, combined with intelligence, support continuous patient predictive diagnostics, paving way future breakthroughs care.

Язык: Английский

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Machine Learning Techniques for Improving Nanosensors in Agroenvironmental Applications

Agronomy, Год журнала: 2024, Номер 14(2), С. 341 - 341

Опубликована: Фев. 7, 2024

Nanotechnology, nanosensors in particular, has increasingly drawn researchers’ attention recent years since it been shown to be a powerful tool for several fields like mining, robotics, medicine and agriculture amongst others. Challenges ahead, such as food availability, climate change sustainability, have promoted pushed forward the use of agroindustry environmental applications. However, issues with noise confounding signals make these tools non-trivial technical challenge. Great advances artificial intelligence, more particularly machine learning, provided new that allowed researchers improve quality functionality nanosensor systems. This short review presents latest work analysis data from using learning agroenvironmental It consists an introduction topics application field nanosensors. The rest paper examples techniques utilisation electrochemical, luminescent, SERS colourimetric classes. final section discussion conclusion concerning relevance material discussed future sector.

Язык: Английский

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Artificial intelligence for breast cancer: Implications for diagnosis and management

Journal of Medicine Surgery and Public Health, Год журнала: 2024, Номер 3, С. 100120 - 100120

Опубликована: Июнь 17, 2024

Breast cancer's global impact and high mortality rates drive interest in Artificial intelligence (AI) applications. AI's pattern recognition decision-making abilities offer promise detection, diagnosis, personalized treatment, risk assessment, prevention. Screening early detection are improved by AI-enhanced mammography. AI aids radiologists lesion though concerns about false positives persist. In addition, revolutionizes breast imaging, assisting reading mammograms, biomarker lymph node outcome prediction. Genetic insights into treatment response advanced AI, particularly through deep learning algorithms. Collaborative approaches benefit from AI-guided radiotherapy planning. However, challenges of include data privacy, ethics, regulatory issues that must be navigated to ensure successful implementation while upholding healthcare trust. Therefore, this commentary provided an overview implication cancer.

Язык: Английский

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Microneedles at the Forefront of Next Generation Theranostics

Advanced Science, Год журнала: 2025, Номер unknown

Опубликована: Янв. 30, 2025

Abstract Theranostics, combining therapeutic and diagnostic functions, marks a revolutionary advancement in modern medicine, with microneedle technology at its forefront. This review explores the substantial developments multifaceted applications of microneedles, which have evolved from basic transdermal drug delivery devices to sophisticated platforms. Microneedles enhance access biomarkers via interstitial fluid, enabling real‐time monitoring physiological conditions, such as glucose hormone levels, thus facilitating continuous health tracking. The evolution design solid dissolvable forms broadens their utility mere complex sensing applications, including insulin for diabetes management, vaccination, gene therapy. paper delves into integration microneedles wearable technologies, highlighting role closed‐loop systems that combine dynamic, precise delivery. By addressing gaps literature regarding integrated treatment capabilities, this underscores pivotal personalizing medicine. It concludes visionary perspective on future trajectory technology, emphasizing potential revolutionize strategies through enhanced efficacy, safety, patient compliance.

Язык: Английский

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Electrospun ZnO/MOx Nanocomposites as Sensitive Materials for Biomarker Gas Sensors: Role of MOx in C1-C4 Short-Chain Fatty Acids Detection

Sensors and Actuators B Chemical, Год журнала: 2025, Номер unknown, С. 137535 - 137535

Опубликована: Фев. 1, 2025

Язык: Английский

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The Role of Nano-Sensors in Breath Analysis for Early and Non-Invasive Disease Diagnosis

Chemosensors, Год журнала: 2023, Номер 11(6), С. 317 - 317

Опубликована: Май 24, 2023

Early-stage, precise disease diagnosis and treatment has been a crucial topic of scientific discussion since time immemorial. When these factors are combined with experience knowledge, they can benefit not only the patient, but also, by extension, entire health system. The development rapidly growing novel technologies allows for accurate disease. Nanomedicine contribute to exhaled breath analysis (EBA) diagnosis, providing nanomaterials improving sensing performance detection sensitivity. Through EBA, gas-based nano-sensors might be applied various essential diseases, some their metabolic products detectable measurable in breath. design innovative nanomaterial-based sensor devices specific biomarkers samples emerged as promising research field non-invasive several diseases. EBA would an inexpensive widely available commercial tool that could also used self-test kit. Thus, it guide patients proper specialty, bypassing those expensive tests, resulting, hence, earlier treatment, thus better quality life. In this review, most prevalent types sensors breath-sample presented parallel common diseases diagnosed through highlighting impact incorporating new technological achievements clinical routine.

Язык: Английский

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Machine learning integrated graphene oxide‐based diagnostics, drug delivery, analytical approaches to empower cancer diagnosis

BMEMat, Год журнала: 2024, Номер unknown

Опубликована: Сен. 28, 2024

Abstract Machine learning (ML) and nanotechnology interfacing are exploring opportunities for cancer treatment strategies. To improve therapy, this article investigates the synergistic combination of Graphene Oxide (GO)‐based devices with ML techniques. The production techniques functionalization tactics used to modify physicochemical characteristics GO specific drug delivery explained at outset investigation. is a great option treating because its natural biocompatibility capacity absorb medicinal chemicals. Then, complicated biological data analyzed using algorithms, which make it possible identify best medicine formulations individualized plans depending on each patient's particular characteristics. study also looks optimizing predicting interactions between carriers cells ML. Predictive modeling helps ensure effective payload release therapeutic efficacy in design customized systems. Furthermore, tracking outcomes real time made by permit adaptive modifications therapy regimens. By medication doses settings, not only decreases adverse effects but enhances accuracy.

Язык: Английский

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AI-Reinforced Wearable Sensors and Intelligent Point-of-Care Tests

Journal of Personalized Medicine, Год журнала: 2024, Номер 14(11), С. 1088 - 1088

Опубликована: Ноя. 1, 2024

Artificial intelligence (AI) techniques offer great potential to advance point-of-care testing (POCT) and wearable sensors for personalized medicine applications. This review explores the recent advances transformative of use AI in improving wearables POCT. The integration significantly contributes empowering these tools enables continuous monitoring, real-time analysis, rapid diagnostics, thus enhancing patient outcomes healthcare efficiency. Wearable powered by models tremendous opportunities precise non-invasive tracking physiological conditions that are essential early disease detection treatments. AI-empowered POCT facilitates rapid, accurate making medical kits accessible available even resource-limited settings. discusses key applications data processing, sensor fusion, multivariate analytics, highlighting case examples exhibit their impact different scenarios. In addition, challenges associated with privacy, regulatory approvals, technology integrations into existing system have been overviewed. outlook emphasizes urgent need continued innovation AI-driven health technologies overcome fully achieve revolutionize medicine.

Язык: Английский

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