Researchers demonstrated that 24-hour contact lens sensors can monitor intraocular pressure fluctuations, providing critical insights into normal-tension glaucoma progression. Continuous data collection offers better disease management and personalized treatment for patients, improving clinical outcomes
Researchers developed a HEK-hTLR5 cell-based biosensor to rapidly detect viable Salmonella in food.
Researchers at Cranfield University have created a novel approach to detect biomarkers in wastewater that will allow the tracking of infectious diseases with a mobile phone's camera utilizing origami-paper sensors.
Researchers developed a shape-morphing cortex-adhesive sensor for non-invasive neurostimulation in epilepsy.
Researchers developed predictive models using data from wearable insulin pumps to forecast mealtimes in diabetes patients.
Researchers have developed a cost-effective, non-intrusive wearable device for home fetal monitoring, aiming to detect fetal movements and distress accurately. The pilot study showed promising results in accessibility and reliability, although further testing is needed to validate its effectiveness across broader populations and conditions.
Engineers at the University of California, San Diego used electronic finger wrap to track essential chemical levels in the same fingertip sweat that powers it, including vitamins, glucose, and even medications.
Researchers explored wearable technology combined with machine learning to predict migraine attacks by analyzing physiological signals during sleep. The study found that shorter analysis frames effectively identified pre-migraine changes, highlighting the potential for personalized migraine management.
A novel depth-sensing system accurately tracks chest morphology changes in children with cerebral palsy.
In a recent article published in the journal Advanced Science, researchers presented a novel Multi-Sensor Origami Platform (MSOP) that integrates multiple sensors into a customizable origami structure, allowing for preci...
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