Research Appraisals
Evidence-based critical appraisals of the latest medical research, systematically evaluated using Oxford CEBM methodology.
Showing 5 appraisals
Journal of materials chemistry. B
Multimodal health monitoring and theranostics based on functionalized hydrogels and artificial intelligence
Functionalized hydrogels are ideal flexible interfaces for multimodal health monitoring and integrated diagnosis-therapy systems, owing to their tissue-like mechanical properties, programmable biochemical functions, and hierarchical pores. However, practical applications are often limited by several material bottlenecks: mechanical fatigue and conductivity loss under cyclic stress, the mismatch between degradation rate and functional lifespan, and the trade-off between sensitivity and biocompatibility. To address these challenges, artificial intelligence (AI) has been applied to accelerate structural optimization and property prediction through molecular network engineering and inverse design. Meanwhile, during the collection of coupled mechanical and biochemical signals, these interfaces usually suffer from high background noise, data variability, and baseline drift. Machine learning and deep learning can process these complex datasets through noise filtering, automated feature extraction, and pattern recognition, enabling continuous monitoring and adaptive health management. This review summarizes the recent material design strategies of functionalized hydrogels, AI-driven data analysis methods, and their progress and challenges in integrated diagnosis and therapy.
23 July 2026
Read appraisal →Clinica chimica acta; international journal of clinical chemistry
Cortisol as a stress biomarker: analytical perspectives and challenges
Point-of-care testing (POCT) has emerged as a transformative approach in modern healthcare for the rapid detection of physiological abnormalities through minimally or non-invasively collected samples. Biological matrices such as saliva, urine, hair, blood, and interstitial fluid contain clinically significant biomarkers that may serve as indicators of physiological disorders. Among these, cortisol is the key stress biomarker and exerts substantial effects on body metabolism, acting on both peripheral tissues and the CNS. This review comprehensively outlines the evolution of cortisol detection strategies, progressing from conventional laboratory-based immunoassays to advanced analytical platforms, including electrochemical biosensors, wearable devices, and microfluidic systems. Accurate and reliable detection of elevated cortisol levels is crucial for improving diagnostic, therapeutic, and preventive strategies for stress-related disorders. By tracing the analytical window, the work describes the detection of cortisol from traditional immunoassays to innovative biosensing platforms. Moreover, recent advances in nanomaterials, sensor design, and data integration have enabled continuous, on-site monitoring of cortisol levels, thereby enhancing their applicability across diverse clinical and non-clinical settings. This integration of physiological insight with technological advancement provides a comprehensive overview of developments in cortisol assessment, connecting fundamental endocrine science with practical diagnostic applications. The review underscores the potential of next-generation POCT systems to improve early diagnosis, therapeutic monitoring, and personalized healthcare through real-time biomarker analysis.
17 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 →ACS biomaterials science & engineering
A Review of Biomass-Derived Nanomaterials as Functional Interfaces for Advanced Electrochemical Hormone Detection
The study of high-performance sensing platforms is essential to achieve a high sensitivity for hormonal analytes, short response times, and cost-effectiveness. Nevertheless, standard analytical procedures, such as high-performance liquid chromatography, inductively coupled plasma mass spectrometry, and gas chromatography mass spectrometry (HPLC, ICP-MS, and GC-MS), are rather limited because their sensitivity is low at pM/nM concentrations, and the costs of these processes are too high. Moreover, modern sensor technology can be ill-equipped to selectively respond to intricate biological sample types, and there is no single standard used to quantify sensor signals. This review addresses these knowledge gaps by providing a comprehensive discussion on the role of biomass-derived materials as useful interfaces in electrochemical hormone sensing systems. To achieve improved results, we critically investigated the recent advances in the electrode modification process through biomass-based nanomaterials to promote electron transfer kinetics and interfacial engineering. The present article also discusses contemporary issues such as problems with stability, reproducibility, and selectivity in complex matrices. Furthermore, we highlighted some of the new approaches, such as the development of artificial intelligence, Internet of Things, and wearable point-of-care devices, to create the next generation hormone sensors. Overall, this current review is a comprehensive overview of biomass-derived materials, which have the prospect of enhancing surface modification at the advanced phase, AI integration, and the development of point-of-care diagnostics.
14 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
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