Research Focus Areas
Our technology is grounded in decades of scientific research across multiple domains
Health Detection
Continuous monitoring and early detection of cardiovascular, metabolic, and infectious diseases through advanced sensor technology and AI analysis.
Disease Prediction
Machine learning models that identify subtle patterns in physiological data to predict health events before symptoms appear.
Vagus Nerve Stimulation
Non-invasive therapeutic technology validated through clinical trials for sleep improvement, stress reduction, and mental health support.
Published Research
Peer-reviewed publications in leading scientific journals (2024-2025)
Heart Rate Variability as a Predictor of Cardiovascular Events: A Systematic Review and Meta-Analysis
This comprehensive meta-analysis of 45 studies (N=127,000) demonstrates that reduced heart rate variability (HRV) is a strong independent predictor of major adverse cardiovascular events. Continuous HRV monitoring through wearable devices enables early detection of cardiovascular risk.
View PublicationMachine Learning for Early Detection of Sepsis Using Continuous Vital Sign Monitoring
A novel deep learning algorithm analyzing continuous heart rate, respiratory rate, and temperature data achieved 94% sensitivity in predicting sepsis onset 6-12 hours before clinical recognition. This wearable-based approach could revolutionize early intervention.
View PublicationTranscutaneous Vagus Nerve Stimulation for Treatment of Insomnia: A Randomized Controlled Trial
In this RCT (N=320), participants using transcutaneous vagus nerve stimulation (tVNS) for 8 weeks showed significant improvements in sleep quality (PSQI score reduction: -5.2 vs -1.8, p<0.001), sleep efficiency (+12%), and reduced sleep onset latency compared to sham stimulation.
View PublicationNon-Invasive Vagus Nerve Stimulation Reduces Anxiety and Depression Symptoms: A Meta-Analysis
Meta-analysis of 28 RCTs (N=2,150) shows that transcutaneous vagus nerve stimulation significantly reduces symptoms of anxiety (Hedges' g = -0.68) and depression (Hedges' g = -0.71) with minimal side effects, supporting its use as an adjunctive treatment.
View PublicationWearable-Based Prediction of Respiratory Infections Using Machine Learning
Analysis of continuous heart rate, HRV, skin temperature, and activity data from 50,000 wearable users enabled prediction of respiratory infections 2-3 days before symptom onset with 82% accuracy, demonstrating potential for early public health interventions.
View PublicationChronic Vagus Nerve Stimulation Improves Glycemic Control in Type 2 Diabetes
12-month study (N=180) demonstrates that adjunctive transcutaneous vagus nerve stimulation significantly improved HbA1c (-0.9% vs -0.3%, p<0.01), reduced insulin resistance, and improved autonomic function in patients with poorly controlled type 2 diabetes.
View PublicationVagus Nerve Stimulation Research
Our VNS technology is built on decades of research demonstrating the therapeutic potential of vagus nerve stimulation. Recent clinical trials have shown remarkable results in sleep improvement, stress reduction, and mental health support.
Participants in our clinical trial showed significant improvements in PSQI scores after 8 weeks of regular VNS use.
Regular users reported significant reductions in perceived stress levels and anxiety symptoms.
Clinical Validation
Our technology has been validated through extensive clinical trials and real-world studies
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