Research Appraisals
Evidence-based critical appraisals of the latest medical research, systematically evaluated using Oxford CEBM methodology.
Showing 11 appraisals
ACS applied materials & interfaces
Advances and Challenges in Wearable Sensors for Health Monitoring
Analytical tools may revolutionize healthcare by enabling accessible, rapid, and decentralized testing. Wearable (bio)sensors, in particular, provide frequent or continuous patient monitoring through non- to minimally invasive measurements. This approach yields unprecedented amounts of health-related information, leading to more informed clinical decision-making and closer patient follow-up. In this mega-review article, we bring together leading researchers in the field to discuss the state of the art in wearable devices for health monitoring. We begin by providing a broad overview of the field through citation network analysis. We then review the application of chemical (bio)sensors in biofluids (e.g., sweat, saliva, tears, interstitial fluid, and cerebrospinal fluid), highlighting the challenges and advantages associated with each. Subsequently, we discuss the construction of wearable devices and their main formats (e.g., smart contact lenses, textiles, mouthguards, watches/wristbands, and implantable systems). Physical sensors are addressed in a dedicated section focusing on the assessment of heart rate, blood pressure, and body temperature. The role of soft electronics in wearable devices is also examined, as these technologies are essential for enhancing user comfort and sensor reliability, which demands advances in materials science. Furthermore, we present strategies for signal acquisition and transmission, as well as approaches for on-body energy harvesting and device self-powering. The use of artificial intelligence and machine learning is then discussed as a means of enhancing analytical performance and managing the large volumes of data generated by wearable devices. Finally, business, regulatory, and ethical considerations are examined. We expect that this review will provide an overview of sensing and biosensing technologies for health-related applications, identify promising research directions, and inspire future developments.
30 July 2026
Read appraisal →Nano letters
Regulating the Nano-Bio Interface: Converging Electrochemical and Photonic Biosensing for Wearable Diagnostics
The development of wearable biosensors has accelerated due to the combination of nanomaterials, integrative electronics, and miniaturized transduction mechanisms, enabling continuous monitoring of physiological and environmental markers. Electrochemical and photonic modalities have been shown to exhibit complementary capabilities in wearable applications, with each offering distinct advantages in sensitivity, selectivity, miniaturization, and power efficiency. Beyond single-modality functionality, the next generation of wearable diagnostics integrates electrochemical and optical transduction within the same platforms. In this short review, we examine the physical and functional demands of such convergence in wearable systems, highlighting model electrochemical systems, such as textile-integrated wound monitoring and hormone sensors, and how optical modalities provide orthogonal observables of interfacial and biochemical conditions. We further explore new emerging device architectures that leverage electrochemical and optical interrogation to generate robust, information-rich data sets, supporting long-term, real-world deployment of wearable diagnostic technologies for personalized healthcare and continuous monitoring applications.
16 July 2026
Read appraisal →Analytical chemistry
Biodegradable Self-Powered Electrotherapy Patch for Integrated Smart Wound Management
Smart patches based on multimodal wearable devices enable real-time physiologic monitoring and proactive interventions to promote wound healing. Herein, we describe a biodegradable wearable electrotherapy patch (E-patch) that integrates noninvasive self-powered electrical stimulation (ES) therapy for tissue regeneration and a multiplexed electrochemical biosensor array for continuous monitoring of wound status. Custom-developed supercapacitor arrays (SCs) supply stable energy for ES, and constructed wearable biosensors enable sensitive monitoring of biomarkers in the wound exudate. As-fabricated wearable E-patches degrade harmlessly after operation, significantly reducing the environmental pollution pressure associated with flexible electronics. In vitro studies demonstrated that an applied electric field (EF) significantly promotes cell-directed alignment, which is crucial for tissue regeneration and remodeling. In vivo investigations in the Sprague-Dawley (SD) rat model illustrate that combination therapy dramatically accelerates wound healing. Overall, this work provides a promising strategy toward integrated smart wound management and future feedback-assisted wearable therapeutic systems.
15 July 2026
Read appraisal →Science advances
A multifunctional porous interface bridging 3D architected electronics with skin
Skin-integrated flexible electronics are rapidly advancing from short-term use to continuous, long-term wear to meet the demands of health monitoring, wound healing, and skin disease treatment. While three-dimensionally (3D) architected devices offer sensing capabilities and outstanding mechanical performances, the development of a conformal interface between these 3D electronic devices and skin for long-term comfortable wear remains challenging due to their geometric complexity and mechanical fragility. Here, we introduce a multifunctional porous interface that bridges 3D flexible electronics with skin through engineered microporous networks. Such a porous design enhances elastic stretchability and electrical reliability while providing moisture permeability, thermal buffering, impact mitigation, and drug delivery capability. Stiffness reduction and localized pore-wall-shell buckling synergistically underpin the outstanding mechanical resilience under large deformations. The proposed multifunctional porous interface allows development of a 3D closed-loop wound administration patch capable of multimodal sensing and on-demand therapy, markedly accelerating scald wound healing in vivo.
12 July 2026
Read appraisal →Chemical communications (Cambridge, England)
An update on polydiacetylene-based solid-supported sensing platforms for environmental and health monitoring.
Polydiacetylenes (PDAs) are a unique class of conjugated polymers renowned for their pronounced chromo- and fluorogenic responses to external stimuli, enabling direct optical transduction of chemical and biological interactions. While early PDA-based sensing systems predominantly relied on solution-phase assemblies, their limited structural stability, reproducibility, and deployability have constrained practical applications. In recent years, the immobilization of PDAs onto solid supports has emerged as a powerful strategy to overcome these limitations, transforming responsive supramolecular polymers into robust, functional sensing platforms. Solid-supported PDA architectures offer enhanced mechanical stability, improved environmental tolerance, controlled molecular organization, and compatibility with portable and field-deployable devices. This review provides a comprehensive and application-oriented overview of solid-supported polydiacetylene systems for environmental and health monitoring. Emphasis is placed on the role of support materials, fabrication strategies, and structure-process-property relationships that govern sensing performance. Key applications in environmental pollutant detection and biomedical diagnostics are critically examined, alongside comparative performance metrics and design considerations. Current challenges, including signal irreversibility, environmental interference, and scalability, are discussed, and future directions toward sustainable fabrication, wearable devices, and integrated smart sensing platforms are outlined. By positioning solid-supported PDAs as adaptive interfaces between molecular recognition and macroscopic readout, this review highlights their potential as next-generation materials for decentralized and real-world sensing applications.
8 July 2026
Read appraisal →ACS nano
Design and Applications of Magnetically Actuated Microrobots in Endovascular Embolization
Endovascular embolization is one of the core techniques in minimally invasive interventional medicine. It allows catheters to be accurately delivered to target blood vessels under image guidance for the implantation of embolic materials to achieve vascular occlusion. Although this technique has become increasingly mature, it still faces major challenges in precise delivery due to the limitations of embolic-agent properties and design concepts, restricting further improvement of the embolization therapeutic efficacy. Driven by continuous breakthroughs in materials science and control engineering, as well as the inevitable trend of medical development toward miniaturization, precision, and intelligence, microrobots show broad application prospects in precision disease treatment. They present advantages in accurate embolization and remote control in endovascular embolization, which can effectively improve embolization outcomes and reduce the risk of ectopic embolism. Taking the embolic microrobot system as the research focus, this paper systematically elaborates the design strategies, validation models, and practical applications of magnetically actuated embolic microrobots, comprehensively evaluates various imaging systems, and summarizes the supporting magnetic actuation technologies. It concludes the multimodule collaboration and adaptation framework of embolic microrobot systems. Finally, it analyzes the current limitations and potential translational challenges and presents a systematic prospect of its future development trends.
8 July 2026
Read appraisal →Advanced materials (Deerfield Beach, Fla.)
Advances in Wearable Bioimaging
The development of wearable bioimaging platforms has accelerated in the era of precision medicine, addressing the limitations of conventional, facility-based systems, which can be costly and difficult to access. In this review, we first outline the operating principles of major imaging modalities, with an emphasis on target tissues and factors that contribute to image quality. Next, we survey advances in miniaturizing these modalities into wearable devices, from electrical impedance tomography belts to flexible ultrasound and photoacoustic patches, highlighting materials selection and fabrication strategies that enhance image quality, skin adhesion, and functional integration. Lastly, we discuss outstanding technical and translational challenges that must be addressed to realize the full potential of these platforms, including safety and long-term use. With sustained research and responsible commercialization, these wearable devices could reshape continuous physiological monitoring and enable more proactive, preventive health management.
3 July 2026
Read appraisal →Medical image analysis
Autodidactic dense anatomical models
Humans effortlessly interpret images by parsing them into part-whole hierarchies. Yet, deep learning models, despite excelling at capturing multi-level features, often fail to explicitly encode these part-whole hierarchies-an essential aspect of medical imaging, which boasts anatomical hierarchies in nature. To address this limitation, we introduce Adam-v2, a self-supervised learning framework that explicitly learns to encode inherent part-whole hierarchies within medical images through three key branches: (1) "localizability", which acquires discriminative representations to distinguish different anatomical structures; (2) "composability", which learns each anatomical structure in a parts-to-whole manner; and (3) "decomposability", which comprehends each anatomical structure in a whole-to-parts manner. Our extensive experiments showcase Adam-v2's advanced capability in anatomy understanding, unveiled through its embeddings (Eve-v2). Particularly, Eve-v2 demonstrates a zero-shot understanding of anatomy as revealed through its learned properties: ➀ preserving localizability of anatomical structures and ➁ encoding part-whole relations of anatomical structures as well as its emergent properties: ➂ understanding anatomical layouts via interpolation and extrapolation, ➃ associating each image pixel with (dense) semantic embeddings, ➄ recognizing anatomical symmetries, ➅ generating embeddings consistent across scales, and ➆ matching anatomical structures across images of the same patient with different diseases, images of different patients, and augmented views of the same image. Adam-v2 also offers robust and generalizable representations and stands out in ➇ few-shot learning, ➈ full-transfer learning, and ➉ novelty and anomaly detection. These capabilities and performance directly stem from our crafted anatomy learning strategy, which explicitly constructs hierarchies for distinct anatomical structures from unlabeled medical images. Project page: GitHub.com/JLiangLab/Eden.
1 July 2026
Read appraisal →ACS sensors
Machine Learning-Enabled Gas Sensor Based on MOF-Derived In2O3-CuO for Exhaled CO Detection
Noninvasive, precise breath analysis holds significant importance for the screening and monitoring of neonatal jaundice, with its core challenge lying in the specific detection of the key biomarker carbon monoxide (CO) within complex breath matrices. This research employed a controlled process to fabricate five sets of In2O3-CuO sensors derived from bimetallic metal-organic frameworks (Bi MOFs). These were assembled into a microsensor array, and by incorporating a linear discriminant analysis algorithm, an electronic nose system was constructed. This approach utilizes thermodynamic feature engineering to enhance data validity and optimize algorithm selection, thereby reducing reliance on large-scale data and computational resources. By integrating thermodynamically feature-driven machine learning, the electronic nose system-comprising merely five In2O3-CuO sensors-ultimately achieved accurate discrimination between CO and acetone. Concurrently, the single 3In2O3-CuO sensor exhibits excellent reproducibility, moisture resistance, and stability, with a low detection limit of 1 ppm and relatively rapid response/recovery times (5/21 s). By introducing machine learning algorithms to analyze the multidimensional response signals from the sensor array, the study successfully addressed the cross-sensitivity issue between CO and coexisting interfering gas C3H6O in clinical environments, achieving qualitative identification of CO ranging from 1 to 50 ppm (cross-validation accuracy reached 82%), providing a highly reliable technical platform for noninvasive screening of neonatal bilirubin metabolic abnormalities.
29 June 2026
Read appraisal →ACS sensors
Flexible Wearable Closed-Loop Diagnostic and Therapeutic System: A New Paradigm for Skin Health Management
As the largest external barrier of the human body, the skin is essential to overall health and quality of life. Conventional skin health management faces limitations such as insufficient real-time monitoring and lack of personalization. Flexible wearable devices have recently emerged as a transformative technology, enabling non-invasive sensing and targeted therapy with high skin compatibility. This review comprehensively summarizes recent advances in flexible wearable closed-loop diagnostic and therapeutic systems for skin health management. It outlines the core technological components, including skin bioinformation collection, biosignal monitoring, signal transmission and data analysis, and targeted intervention. Key applications in physiological and pathological monitoring, wound healing, drug delivery, and physical therapy are discussed. Furthermore, the innovation trajectory of closed-loop systems is clarified, key challenges are analyzed, and targeted solutions are proposed. Future directions are prospected from cross-disciplinary views including digital twins and personalized medicine, establishing a new paradigm for real-time, personalized, and continuous skin health management.
28 June 2026
Read appraisal →Science advances
A battery-free wireless intelligent aligner for spatially resolved, closed-loop theranostics of chronic oral diseases
Intelligent wearable theranostic systems are advancing personalized health care by enabling continuous monitoring and proactive therapy. However, managing chronic oral diseases such as caries and periodontitis is challenging due to the oral cavity's complex, spatially heterogeneous microenvironments and limited space for powered intraoral electronics. To address this, we developed a wireless, battery-free, and wearable intelligent therapeutic aligner (WiB-ITA) that integrates a butterfly-inspired dual-sided flexible integrated theranostic electrode array (iTEA) to simultaneously monitor compartment-matched pH and nitrite and electrochemically gate on-demand antimicrobial release. The system is powered and commanded via a relay-assisted near-field communication (NFC)-Bluetooth low energy (BLE) dual-hop link, enabling stable battery-free operation across tooth positions and full-arch usability. Validated from in vitro to preliminary human studies, WiB-ITA establishes a scalable, compartment-matched intraoral closed-loop theranostic framework. This integrated theranostic platform represents a breakthrough in personalized oral health care and provides a paradigm for managing other chronic conditions.
27 June 2026
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