Transforming Wearable Data into Early Health Warnings
AI-powered health predictions from wearable data, saving lives by identifying early warning signs of critical conditions.
AI-powered health predictions from wearable data, saving lives by identifying early warning signs of critical conditions.
We are a medical device manufacturer with a focus on software as a medical device. We develop algorithms that predict disease onset and progression using data from smartwatches and smartphones, helping to prevent critical events and improve treatment.
Algorithms are grounded in decades of research and validated on 130+ billion data points, detecting system changes with millisecond precision.
Assures complete patient privacy by preprocessing individual patient data (not patient records) on a patient’s phone with anonymized preprocessed values that can never be traced back to any specific person. Before Health Intelligence does not have access to patient records.
No manual input needed. The app delivers health stats, advice, and motivation for a healthier lifestyle through rewards and social features.
Health is not a state of absence of disease. We cannot avoid diseases but we can prepare ourselves before we enter the battle against them. Our mission is to provide those at risk the best intelligence to know when the fight starts and be ready for it.
Proportion of global deaths caused by cardiovascular diseases.
Number of global deaths caused by cardiovascular diseases.
Percentage of cardiovascular deaths resulting from heart attacks and strokes.
Annual financial impact of heart disease in the US, including productivity losses.
Years of preclinical research funded by European agencies.
Major neurological and psychiatric disorders addressed by our technology.
We are a highly skilled team of medical professionals, mathematicians, physicists, and programmers with over a decade of research experience from renowned institutions like Princeton, Max Planck Society, and MIT. With strong female leadership, we embrace diversity and are dedicated to an equal opportunity workplace, striving for both professional excellence and community impact.
Health is not a state of absence of disease. We cannot avoid diseases but we can prepare ourselves before we enter the battle against them. Our mission is to provide those at risk the best intelligence to know when the fight starts and be ready for it.
The algorithms underlying our mobile applications are based on years of scientific research in the field of state transitions. These algorithms have been preclinically validated on over 130,000,000,000 data points and could robustly characterize sudden and gradual changes of the system at milli-second resolution. Additional, clinical validation steps are ongoing.
Previous experiments validated our algorithms specifically for predicting relapse to alcohol consumption.
Data entropy calculations revealed the optimal time-resolution for retrieving data from smartwatches.
Relapse as a critical state transition is best reflected by limit cycles generated from circadian rhythms.
More data doesn’t necessarily mean better predictions; biometric data alone is sufficient to predict early warning signs of relapse through changes in limit cycles.
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Continuous health monitoring
Beta testing of Antshrike app is successfully completed.
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