
Owlytics Healthcare
Assistant, Healthcare, Monitoring
Machine Learning
Owlytics Healthcare uses machine-learning algorithms in combination with big data collected by smartphones and wearable sport and health devices. The resulting technology builds a predictive service layer as a mobile application to help manage family health and provide notifications based on medical-state prediction and healthcare-related events. Utilizing smart wearables, BandManage tracks individual physiological patterns, notifies care-givers about changes, and predicts health events. BandManage can detect and prevent falls, identify abnormal physiology, detect early dehydration signs, and detect flu symptoms.
investment_rounds_post_date | investment_rounds_post_date_gmt | investment_rounds_meta_investment_rounds_investment_amount | investment_rounds_meta_investment_rounds_startup_tag |
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investment_rounds_post_date | investment_rounds_post_date_gmt | investment_rounds_meta_investment_rounds_investment_amount | investment_rounds_meta_investment_rounds_startup_tag |
2019 | Nov 2019 10:00 PM | 4.0 | 5805 |
2020 | Nov 2020 09:34 AM | 1.3 | 5805 |
Continuous data is collected from the watch and sent to our cloud-based, AI software via the cellular network with no need for any infrastructure installed at the participant’s home or at the clinic. Owlytics uses proprietary algorithms, verified by a leading academic clinical research center to convert raw data into a variety of validated, population-specific measures. High resolution, raw data is easily exported for advanced customized analytics on a personal or group basis. This provides clinical teams access to objective and accurate data collected from trial participants.