Bio Conscious Tech. developed predictive disease progression models that enable medical professionals to take actionable steps and improve patient care, potentially save lives.
Our first focus has been on applying our technology to identify severe Dysglycemia in patients with Diabetes. Proven in clinical pilots, our technology has benefited physicians and patients by identifying high-risk glycemic events before they occur.
Endobits – Automated Remote Patient Monitoring
Endobits, is a decision-support system helping caregivers scale and automate their remote patient monitoring programs and keep their patients healthy.
Severe Hypo/
Hyper Event Detection
The Endobits Severe Events Model was developed as an additional safeguard layer on top of the Blood Glucose Decision Support model. This model uses advanced Machine Learning to analyze patient data to determine if there will be a severe hypo or severe hyper event in the near future.
Next-Generation Patient Care
Problem: Traditional metabolic models are very uncertain with a limited prediction horizon.
Solution: Endobits leverages advanced artificial intelligence, and Continuous Glucose Monitoring Technology to anticipate adverse glycemic events and provide Diabetes patients and their caregivers with a significantly longer horizon for reaction.
