In 50 male volunteers, sound-based uroflowmetry from a smartwatch, smartphone or microphone estimated urine flow rate and voided volume with good agreement against a clinical Minze uroflowmeter, achieving Lin's concordance coefficients of 0.9 for flow rate and 0.85 for voided volume with the smartwatch, suggesting that acoustic uroflowmetry could enable decentralised testing for lower urinary tract dysfunction.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
This review establishes that microsampling across blood, saliva, urine and stool matrices offers validated workflows and regulatory recognition for human biomonitoring comparable to conventional methods. It finds that these decentralised approaches enhance participant acceptability and enable screening in remote or low-resource settings.
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.
A non-invasive wearable urinometer using an infrared barrier and LoRaWAN measures urine flow from less than 1 to 500 ml/h with errors below 15% compared with an infusion pump gold standard, and detects urine colour; this supports remote, continuous monitoring of diuresis and haematuria in catheterized patients.
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 ↗
This study demonstrates that a memristor sensor can identify distinct electrical signatures in saliva and urine corresponding to different ovulation phases, suggesting a potential route for noninvasive home fertility monitoring.