Development of a Permanent Device for Fertility Period Detection by Basal Body Temperature and Analysis of the Cervical Mucus Potential of Hydrogen

In a Phase 1 crossover study of etrasimod, self-collected blood microsamples yielded pharmacokinetic exposures comparable to conventional venous sampling, both with and without participant practice sessions. Continuous wearable sensors concurrently enabled real-time remote monitoring of safety vital signs and electrocardiograms, demonstrating the viability of hybrid decentralised designs in early-phase clinical trials.

Advancing Early Clinical Trials: The Transformative Potential of Decentralized Designs and Digital Technologies in Phase 1 Clinical Trial — Malhotra et al., Clinical pharmacology and therapeutics · source ↗

• blood
• capillary
• self-collection
• venous-agreement
• dct
• wearable
• rpm
• digital-biomarker
• multimodal

Across perinatal care, wearable sensors and home-monitoring platforms support timely intervention, with remote monitoring linked to a 7 to 11 percent reduction in maternal mortality and preeclampsia incidence. In neonatal care, predictive digital monitoring such as the Heart Rate Observation system reduced mortality in very low-birth-weight infants by approximately 20 percent.

Integrating Artificial Intelligence into Perinatal Care Pathways: A Scoping Review of Reviews of Applications, Outcomes, and Equity — El Arab et al., Nursing reports · source ↗

• wearable
• rpm
• pediatric
• fertility
• digital-biomarker

Decentralised monitoring of people with type 2 diabetes using continuous glucose monitoring and a hybrid smartwatch was feasible, with high participant retention and successful collection of glucose, heart rate, activity, sleep and GPS data via a study app.

Exploring Decentralized Glucose and Behaviometric Monitoring of Persons with Type 2 Diabetes in the Setting of a Clinical Trial — Ali et al., Journal of diabetes science and technology (paywalled) · source ↗

• dct
• actigraphy
• wearable
• multimodal
• cgm
• rpm
• self-collection
• digital-biomarker
• interstitial-fluid

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.

AI Aided Analysis on Saliva Crystallization of Pregnant Women for Accurate Estimation of Delivery Date and Fetal Status — Li et al., IEEE journal of biomedical and health informatics (paywalled) · source ↗

• multimodal
• rpm
• self-collection
• fertility
• digital-biomarker
• saliva

Menstrual blood offers a noninvasive, patient-centric matrix for detecting endometriosis, cervical cancer, and hormonal disorders through self-collected samples. Wearable in-pad biosensors enabling real-time monitoring and long-term tracking could transform fertility evaluation and early disease detection, though standardisation and large-scale validation remain critical gaps.

Beyond waste: menstrual blood as a powerful diagnostic tool for women's health — Shafiq et al., Annals of medicine and surgery · source ↗

• blood
• self-collection
• fertility
• hormones
• wearable
• multimodal