Skin-Interfaced Wearable Sweat Sensors for Precision Medicine

Chemical Reviews, Journal Year: 2023, Volume and Issue: 123(8), P. 5049 - 5138

Published: March 27, 2023

Wearable sensors hold great potential in empowering personalized health monitoring, predictive analytics, and timely intervention toward healthcare. Advances flexible electronics, materials science, electrochemistry have spurred the development of wearable sweat that enable continuous noninvasive screening analytes indicative status. Existing major challenges include: improving extraction sensing capabilities, form factor device for minimal discomfort reliable measurements when worn, understanding clinical value biomarker discovery. This review provides a comprehensive outlines state-of-the-art technologies research strive to bridge these gaps. The physiology sweat, materials, biosensing mechanisms advances, approaches induction sampling are introduced. Additionally, design considerations system-level devices, spanning from strategies prolonged efficient powering wearables, discussed. Furthermore, applications, data commercialization efforts, challenges, prospects precision medicine

Language: Английский

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Intelligent metasurfaces: control, communication and computing

eLight, Journal Year: 2022, Volume and Issue: 2(1)

Published: May 6, 2022

Abstract Controlling electromagnetic waves and information simultaneously by metasurfaces is of central importance in modern society. Intelligent are smart platforms to manipulate the wave–information–matter interactions without manual intervention synergizing engineered ultrathin structures with active devices algorithms, which evolve from passive composite materials for tailoring wave–matter that cannot be achieved nature. Here, we review recent progress intelligent controls providing historical background underlying physical mechanisms. Then explore application developing novel wireless communication architectures, particular emphasis on metasurface-modulated backscatter communications. We also wave-based computing using metasurfaces, focusing emerging research direction sensing. Finally, comment challenges highlight potential routes further developments controls, communications computing.

Language: Английский

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Morphological Engineering of Sensing Materials for Flexible Pressure Sensors and Artificial Intelligence Applications

Nano-Micro Letters, Journal Year: 2022, Volume and Issue: 14(1)

Published: July 5, 2022

As an indispensable branch of wearable electronics, flexible pressure sensors are gaining tremendous attention due to their extensive applications in health monitoring, human –machine interaction, artificial intelligence, the internet things, and other fields. In recent years, highly have been developed using various materials/structures transduction mechanisms. Morphological engineering sensing materials at nanometer micrometer scales is crucial obtaining superior sensor performance. This review focuses on rapid development morphological technologies for sensors. We discuss different architectures designs achieve high performance, including sensitivity, broad working range, stable sensing, low hysteresis, transparency, directional or selective sensing. Additionally, general fabrication techniques summarized, self-assembly, patterning, auxiliary synthesis methods. Furthermore, we present emerging high-performing microengineered healthcare, smart homes, digital sports, security machine learning-enabled computational platform. Finally, potential challenges prospects future developments discussed comprehensively.

Language: Английский

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A soft thumb-sized vision-based sensor with accurate all-round force perception

Nature Machine Intelligence, Journal Year: 2022, Volume and Issue: 4(2), P. 135 - 145

Published: Feb. 23, 2022

Abstract Vision-based haptic sensors have emerged as a promising approach to robotic touch due affordable high-resolution cameras and successful computer vision techniques; however, their physical design the information they provide do not yet meet requirements of real applications. We present robust, soft, low-cost, vision-based, thumb-sized three-dimensional sensor named Insight, which continually provides directional force-distribution map over its entire conical sensing surface. Constructed around an internal monocular camera, has only single layer elastomer over-moulded on stiff frame guarantee sensitivity, robustness soft contact. Furthermore, Insight uniquely combines photometric stereo structured light using collimator detect deformation easily replaceable flexible outer shell. The force is inferred by deep neural network that maps images spatial distribution contact (normal shear). overall resolution 0.4 mm, magnitude accuracy 0.03 N direction five degrees range 0.03–2 for numerous distinct contacts with varying area. presented hardware software concepts can be transferred wide variety robot parts.

Language: Английский

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Machine Learning (ML) in Medicine: Review, Applications, and Challenges

Mathematics, Journal Year: 2021, Volume and Issue: 9(22), P. 2970 - 2970

Published: Nov. 21, 2021

Today, artificial intelligence (AI) and machine learning (ML) have dramatically advanced in various industries, especially medicine. AI describes computational programs that mimic simulate human intelligence, for example, a person’s behavior solving problems or his ability learning. Furthermore, ML is subset of intelligence. It extracts patterns from raw data automatically. The purpose this paper to help researchers gain proper understanding its applications healthcare. In paper, we first present classification learning-based schemes According our proposed taxonomy, healthcare are categorized based on pre-processing methods (data cleaning methods, reduction methods), (unsupervised learning, supervised semi-supervised reinforcement learning), evaluation (simulation-based practical implementation-based real environment) (diagnosis, treatment). classification, review some studies presented We believe helps familiarize themselves with the newest research medicine, recognize their challenges limitations area, identify future directions.

Language: Английский

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Image sensing with multilayer nonlinear optical neural networks

Nature Photonics, Journal Year: 2023, Volume and Issue: 17(5), P. 408 - 415

Published: March 23, 2023

Language: Английский

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Smartphone-based platforms implementing microfluidic detection with image-based artificial intelligence

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: March 11, 2023

Abstract The frequent outbreak of global infectious diseases has prompted the development rapid and effective diagnostic tools for early screening potential patients in point-of-care testing scenarios. With advances mobile computing power microfluidic technology, smartphone-based health platform drawn significant attention from researchers developing devices that integrate optical detection with artificial intelligence analysis. In this article, we summarize recent progress these platforms, including aspects chips, imaging modalities, supporting components, software algorithms. We document application platforms terms objects, molecules, viruses, cells, parasites. Finally, discuss prospects future platforms.

Language: Английский

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Artificial intelligence-powered electronic skin

Nature Machine Intelligence, Journal Year: 2023, Volume and Issue: 5(12), P. 1344 - 1355

Published: Dec. 18, 2023

Language: Английский

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Machine Learning-Enhanced Flexible Mechanical Sensing

Nano-Micro Letters, Journal Year: 2023, Volume and Issue: 15(1)

Published: Feb. 17, 2023

To realize a hyperconnected smart society with high productivity, advances in flexible sensing technology are highly needed. Nowadays, has witnessed improvements both the hardware performances of sensor devices and data processing capabilities device's software. Significant research efforts have been devoted to improving materials, mechanism, configurations systems quest fulfill requirements future technology. Meanwhile, advanced analysis methods being developed extract useful information from increasingly complicated collected by single or network sensors. Machine learning (ML) as an important branch artificial intelligence can efficiently handle such complex data, which be multi-dimensional multi-faceted, thus providing powerful tool for easy interpretation data. In this review, fundamental working mechanisms common types mechanical sensors firstly presented. Then how ML-assisted improves applications other closely-related various areas is elaborated, includes health monitoring, human-machine interfaces, object/surface recognition, pressure prediction, human posture/motion identification. Finally, advantages, challenges, perspectives associated fusion ML algorithms discussed. These will give significant insights enable advancement next-generation sensing.

Language: Английский

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Computational spectrometers enabled by nanophotonics and deep learning

Nanophotonics, Journal Year: 2022, Volume and Issue: 11(11), P. 2507 - 2529

Published: Jan. 24, 2022

Abstract A new type of spectrometer that heavily relies on computational technique to recover spectral information is introduced. They are different from conventional optical spectrometers in many important aspects. Traditional offer high resolution and wide range, but they so bulky expensive as be difficult deploy broadly the field. Emerging applications machine sensing imaging require low-cost miniaturized specifically designed for certain applications. Computational well suited these generally low cost single-shot operation, with adequate spatial resolution. The combines recent progress nanophotonics, advanced signal processing learning. Here we review spectrometers, identify key challenges, note directions likely develop near future.

Language: Английский

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