Critical Role of Surface Properties in Passive Interstitial Fluid Extraction Using Polymeric Hollow Microneedles for Wearable Diagnostics DOI Creative Commons
Ipek Atay, Emel Yılgör,

Gürdeniz Neşer

и другие.

Advanced Materials Interfaces, Год журнала: 2025, Номер unknown

Опубликована: Июнь 2, 2025

Abstract Efficient sampling of dermal interstitial fluid (ISF) is essential for continuous monitoring biomarkers early detection and management chronic diseases. Transdermal ISF extraction using microneedles gained popularity due to their minimally invasive nature efficient capabilities. Among various modalities, passive with hollow polymeric (HMN) stands out as an efficient, economical user‐friendly alternative that eliminates the need external pumps or complex recovery processes. As HMN relies on capillary action, influence surface morphology wettability microchannels are investigated. In vitro absorption capacities HMNs fabricated by laser machining polylactic acid (PLA), polymethyl methacrylate (PMMA) polycarbonate (PC) Microchannels created needle tips through micromachining a 355 nm laser. Surface roughness induced exposure most prominent in PLA HMNs, which exhibited rate 0.02 mg min −1 per at insertion force 1.4 N needle, while PMMA PC‐based showed rates 0.01 1.9 2.3 respectively. These findings highlight critical properties enhancing action during supporting potential integration into next‐generation wearable biosensors.

Язык: Английский

Revolutionary Point‐of‐Care Wearable Diagnostics for Early Disease Detection and Biomarker Discovery through Intelligent Technologies DOI Creative Commons
Fatemeh Haghayegh,

Alireza Norouziazad,

Elnaz Haghani

и другие.

Advanced Science, Год журнала: 2024, Номер unknown

Опубликована: Июль 3, 2024

Early-stage disease detection, particularly in Point-Of-Care (POC) wearable formats, assumes pivotal role advancing healthcare services and precision-medicine. Public benefits of early detection extend beyond cost-effectively promoting outcomes, to also include reducing the risk comorbid diseases. Technological advancements enabling POC biomarker recognition empower discovery new markers for various health conditions. Integration wearables with intelligent frameworks represents ground-breaking innovations automation operations, conducting advanced large-scale data analysis, generating predictive models, facilitating remote guided clinical decision-making. These substantially alleviate socioeconomic burdens, creating a paradigm shift diagnostics, revolutionizing medical assessments technology development. This review explores critical topics recent progress development 1) systems solutions physiological monitoring, as well 2) discussing current trends adoption smart technologies within settings developing biological assays, ultimately 3) exploring utilities platforms discovery. Additionally, translation from research labs broader applications. It addresses associated risks, biases, challenges widespread Artificial Intelligence (AI) integration diagnostics systems, while systematically outlining potential prospects, challenges, opportunities.

Язык: Английский

Процитировано

28

Selective lead ion sensing via cotton pad-based Na2EDTA capped AuNPs: A smartphone-assisted colorimetric method DOI

Evana Sultana,

M. Rana,

Muhammad Shamim Al Mamun

и другие.

Chemosphere, Год журнала: 2025, Номер 372, С. 144095 - 144095

Опубликована: Янв. 10, 2025

Язык: Английский

Процитировано

2

AI-Reinforced Wearable Sensors and Intelligent Point-of-Care Tests DOI Open Access

Ghita Yammouri,

Abdellatif Ait Lahcen

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

Процитировано

9

Machine Learning-Driven Innovations in Microfluidics DOI Creative Commons

JinSeok Park,

Y. Kim, Hee‐Jae Jeon

и другие.

Biosensors, Год журнала: 2024, Номер 14(12), С. 613 - 613

Опубликована: Дек. 13, 2024

Microfluidic devices have revolutionized biosensing by enabling precise manipulation of minute fluid volumes across diverse applications. This review investigates the incorporation machine learning (ML) into design, fabrication, and application microfluidic biosensors, emphasizing how ML algorithms enhance performance improving design accuracy, operational efficiency, management complex diagnostic datasets. Integrating microfluidics with has fostered intelligent systems capable automating experimental workflows, real-time data analysis, supporting informed decision-making. Recent advances in health diagnostics, environmental monitoring, synthetic biology driven are critically examined. highlights transformative potential ML-enhanced systems, offering insights future trajectory this rapidly evolving field.

Язык: Английский

Процитировано

8

Emerging Rapid Detection Methods for the Monitoring of Cardiovascular Diseases: Current Trends and Future Perspectives DOI Creative Commons
Rafi u Shan Ahmad, Wasim Khan,

Muhammad Shehzad Khan

и другие.

Materials Today Bio, Год журнала: 2025, Номер 32, С. 101663 - 101663

Опубликована: Март 14, 2025

Язык: Английский

Процитировано

1

Exosomes as Biomarkers and Therapeutic Agents in Neurodegenerative Diseases: Current Insights and Future Directions DOI Creative Commons

Sam Dehghani,

Ozgecan Ocakcı,

Pars Tan Hatipoglu

и другие.

Molecular Neurobiology, Год журнала: 2025, Номер unknown

Опубликована: Март 17, 2025

Abstract Neurodegenerative diseases (NDs) like Alzheimer’s, Parkinson’s, and ALS rank among the most challenging global health issues, marked by substantial obstacles in early diagnosis effective treatment. Current diagnostic techniques frequently demonstrate inadequate sensitivity specificity, whilst conventional treatment strategies encounter challenges related to restricted bioavailability insufficient blood–brain barrier (BBB) permeability. Recently, exosomes—nanoscale vesicles packed with proteins, RNAs, lipids—have emerged as promising agents potential reshape therapeutic approaches these diseases. Unlike drug carriers, they naturally traverse BBB can deliver bioactive molecules affected neural cells. Their molecular cargo influence cell signaling, reduce neuroinflammation, potentially slow neurodegenerative progression. Moreover, exosomes serve non-invasive biomarkers, enabling precise while allowing real-time disease monitoring. Additionally, engineered exosomes, loaded molecules, enhance this capability targeting diseased neurons overcoming barriers. By offering enhanced reduced immunogenicity, an ability bypass physiological limitations, exosome-based present a transformative advantage over existing approaches. This review examines multifaceted role of NDDs, emphasizing their capabilities, intrinsic functions, advanced vehicles.

Язык: Английский

Процитировано

1

Deep-learning-assisted and self-powered hydrogels sensor with high mechanical strength, good biocompatibility and stretchability for information transmission, motion monitoring, health and Huntington’s disease detection DOI
Zhen Bi, Weizhong Yuan

Chemical Engineering Journal, Год журнала: 2025, Номер unknown, С. 160609 - 160609

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

The Future of Virology Diagnostics Using Wearable Devices Driven by Artificial Intelligence DOI
Malik Sallam, Maad M. Mijwil, Mostafa Abotaleb

и другие.

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 473 - 504

Опубликована: Янв. 10, 2025

The utilization of the wearable devices (WDs) that are enhanced by artificial intelligence (AI) can have a notable potential in healthcare. This chapter aimed to provide an overview applications AI-driven WDs enhancing early detection and management virus infections. First, we presented examples highlight capabilities very monitoring infections such as COVID-19. In addition, provided on utility machine learning algorithms analyze large data for signs We also overviewed enable real-time surveillance effective outbreak management. showed how this be achieved via collection analysis diverse WDs' across various populations. Finally, discussed challenges ethical issues comes with virology diagnostics, including concerns about privacy security well issue equitable access.

Язык: Английский

Процитировано

0

Polymerase Chain Reaction Chips for Biomarker Discovery and Validation in Drug Development DOI Creative Commons
Dang-Khoa Vo, Kieu The Loan Trinh

Micromachines, Год журнала: 2025, Номер 16(3), С. 243 - 243

Опубликована: Фев. 20, 2025

Polymerase chain reaction (PCR) chips are advanced, microfluidic platforms that have revolutionized biomarker discovery and validation because of their high sensitivity, specificity, throughput levels. These miniaturize traditional PCR processes for the speed precision nucleic acid detection relevant to advancing drug development. Biomarkers, which useful in helping explain disease mechanisms, patient stratification, therapeutic monitoring, hard identify validate due complexity biological systems limitations techniques. The challenges respond include high-throughput capabilities coupled with real-time quantitative analysis, enabling researchers novel biomarkers greater accuracy reproducibility. More recent design improvements further expanded functionality also digital multiplex technologies. Digital ideal quantifying rare biomarkers, is essential oncology infectious research. In contrast, enable simultaneous analysis multiple targets, therefore simplifying validation. Furthermore, single-cell made it possible detect at unprecedented resolution, hence revealing heterogeneity within cell populations. transforming development, target identification, efficacy assessment. They play a major role development companion diagnostics and, therefore, pave way personalized medicine, ensuring right receives treatment. While this tremendously promising technology has exhibited many regarding its scalability, integration other omics technologies, conformity regulatory requirements, still prevail. Future breakthroughs chip manufacturing, artificial intelligence, multi-omics applications will expand capabilities. not only be important acceleration but raising bar improving outcomes hence, global health care as these technologies continue mature.

Язык: Английский

Процитировано

0

Magnetic nanoprobe-enabled lateral flow assays in the applications of food safety and in vitro diagnostic DOI
Shipeng Gao,

Xueyun Zheng,

Junyong Zhu

и другие.

Coordination Chemistry Reviews, Год журнала: 2025, Номер 534, С. 216588 - 216588

Опубликована: Март 9, 2025

Язык: Английский

Процитировано

0