Implementation of a colorimetry-based urinary biomarker screening system for early UTI risk detection
Monisha et al.
The finding, in our words
A smart diaper system that analyses colour changes in urinalysis strips detected urinary tract infection biomarkers correctly in 14 of 15 simulated samples, suggesting potential for automated screening in high-risk groups such as infants and the elderly. The system transmits data via the Internet of Medical Things for remote monitoring, though the authors acknowledge that clinical validation in real patients is still needed.
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.
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.
A fully remote decentralised clinical trial in Danish adults with type 2 diabetes demonstrated operational feasibility with rapid recruitment, high retention (87 percent), and excellent adherence to continuous glucose monitoring (95 percent achieving ≥70 percent data coverage) and telemedicine visits (97 percent). Activity tracker adherence was poor (12 percent) due to technical issues, but remote safety monitoring was effective with no unexpected adverse events, supporting the viability of remote diabetes management.
Older adults with and without cognitive impairment were motivated to participate in longitudinal remote sleep research, finding it acceptable when device burden was low, usability high, and adequate support enabled routine integration. Varying cognitive task content and allowing timing flexibility reduced fatigue, while diverse recruitment remains needed for equitable representation in decentralised dementia trials.
Biswas et al., Journal of medical Internet research · source ↗
Warehouse workers frequently presented with concentrated urine pre- and post-shift, and a greater within-shift worsening of urine colour was associated with higher wearable-derived ergonomic risk movement counts. The study demonstrates that self-collected urine samples combined with wearable sensor data can remotely identify hydration-related injury risk in occupational settings.
Agostinelli et al., Frontiers in public health (paywalled) · source ↗