2025 · Progress in molecular biology and translational science · paywalled
Wearable biosensors for cancer detection and monitoring
Kashaninejad et al.
The finding, in our words
Wearable biosensors that analyse sweat, saliva and interstitial fluid can detect cancer biomarkers non-invasively, enabling continuous monitoring and fewer clinical visits. Advances in microfluidics and materials have improved sensitivity and specificity, though practical challenges must be addressed before widespread clinical adoption.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
The review finds that lab-on-chip liquid biopsy technologies are sufficiently mature for distanced cancer screening and follow-up, enabling patient-centric sample collection that reduces exposure risks during pandemics.
Ferrara et al., Biosensors & bioelectronics · source ↗
Wearable biochemical monitoring requires a complete measurement chain that integrates quality-controlled biofluid sampling, sensor fusion and metadata capture to convert raw sensor outputs into clinically valid digital biomarkers.
Salivary cortisol is suitable as an adjunctive measure in decentralised monitoring, with lateral-flow assays providing rapid low-cost discrete measurements and wearable platforms enabling higher-frequency collection but facing biofouling and calibration challenges. Suitability requires validation in authentic saliva against reference methods, not merely low detection limits.
The review examines microneedle patches, flexible electronic skins and textile-based sensors for continuous inflammation monitoring, discussing their design, operation and data processing methods, and identifies future development opportunities for these wearable platforms.
This review assesses wearable sensors for the continuous biochemical monitoring of body fluids such as sweat, saliva and interstitial fluid, confirming their potential for decentralised healthcare through pilot trials. It emphasises that successful clinical translation depends on large-scale validation and the integration of ethical and sociocultural considerations.