Science
Non-invasive physiological biomarkers without a wearable.
MI's protected algorithms deliver biomarkers, including heart rate (HR) and heart rate variability (HRV), through the analysis of colour video captured via a standard smartphone camera.
Click here to access a published peer-reviewed study describing MI's computer vision technology underlying remote measurement of HR.
The world's most accurate measure of stress via smartphone video.
MI's unique 6-layer deep neural network predicts cognitive stress to 86% accuracy with nothing more than the HR and HRV data obtained from the patient's smartphone.
Click here to access a published peer-reviewed study describing MI's machine learning technology for remote and objective stress quantification.
Benchmarked self-assessments of mental wellbeing.
MI has very simple-to-use self-report tools, including a stress slider and mood board, that have been benchmarked in multiple clinical trials to leading medical standards.
Click here to access a published peer-reviewed study demonstrating strong statistically significant correlations between MI's self-report tools and principal components of medically accepted psychological questionnaires examining mental wellbeing.
Certifications
Mobio Interactive’s digital therapeutic platform “AmDTx” is CE MDD Class I and DCB0129 certified; GDPR-, HIPAA- and PHIPA-compliant; and undergoing certification for CE MDR Class IIa, ISO 13485, ISO 9000 and ISO 27001.
Validating the accuracy of our digital biomarkers and the efficacy of our digital theragnostic platform, AmDTx.
Science
Non-invasive physiological biomarkers without a wearable.
MI's protected algorithms deliver biomarkers, including heart rate (HR) and heart rate variability (HRV), through the analysis of colour video captured via a standard smartphone camera.
Click here to access a published peer-reviewed study describing MI's computer vision technology underlying remote measurement of HR.
The world's most accurate measure of stress via smartphone video.
MI's unique 6-layer deep neural network predicts cognitive stress to 86% accuracy with nothing more than the HR and HRV data obtained from the patient's smartphone.
Click here to access a published peer-reviewed study describing MI's machine learning technology for remote and objective stress quantification.
Benchmarked self-assessments of mental wellbeing.
MI has very simple-to-use self-report tools, including a stress slider and mood board, that have been benchmarked in multiple clinical trials to leading medical standards.
Click here to access a published peer-reviewed study demonstrating strong statistically significant correlations between MI's self-report tools and principal components of medically accepted psychological questionnaires examining mental wellbeing.
Effective and accessible healthcare for every human.