2022 · IEEE journal of biomedical and health informatics · paywalled
AI Aided Analysis on Saliva Crystallization of Pregnant Women for Accurate Estimation of Delivery Date and Fetal Status
Li et al.
The finding, in our words
AI analysis of salivary crystallisation patterns from self-collected saliva predicted delivery dates with high accuracy in a small cohort, offering a virtually painless home monitoring option for pregnant women that could support decentralised antenatal care.
A paraphrase to the Library’s standard, never the abstract. The source is one link away and is always the authority.
An intensive protocol combining daily at-home saliva collection for ovarian hormones with smartphone-based ecological momentary assessment achieved 85% compliance in 50 female smokers, revealing substantial within- and between-subject heterogeneity in hormone levels, anxiety and nicotine craving. This demonstrates feasibility of decentralised, patient-centric data collection for studying complex comorbidities.
The authors developed and deployed a decentralised trial platform for a Phase 2 COVID-19 study that used home-based monitoring devices and mobile applications to collect health data remotely, enabling inclusion of participants from diverse socioeconomic backgrounds and rural settings. They created a Clinical-Trial-in-a-Box tool to standardise data collection across decentralised platforms, with lessons learned applicable to Long COVID research.
Dulko et al., Journal of clinical and translational science · source ↗
Self-collected salivary progesterone and the ratio of estradiol to progesterone showed strong agreement with serum levels, supporting the use of saliva as a noninvasive matrix for monitoring the menstrual cycle.
Goldenstein et al., Physiological reports · source ↗
This proof-of-concept study demonstrated that patients with inflammatory bowel disease could successfully perform capillary blood microsampling at home with high analytical success rates, and a majority preferred this decentralised approach over hospital venous draws.
Schuurman et al., Inflammatory bowel diseases · 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.