Disease Prevention as a Service™️
Bio Conscious Technologies is helping thousands of people with chronic conditions live healthier lives. Our predictive technology creates opportunities for intervention much earlier than currently possible. We are redefining how
patients and physicians treat chronic conditions
by delivering disease prevention as a service.
Meet Diabits and Endobits, our groundbreaking predictive technology
We pride ourselves in using novel machine learning techniques to better understand and model daily metabolism, which has led to the creation of two novel predictive tech solutions.
No manual input. No wasted time. Our solutions work with most glucose monitoring devices and CGMs.
No useless data. No general advice. Our recommendations are tailored to each individual user.
Real Machine Learning
No fluff. Our Prediction Engine learns how your body works and keeps learning.
Diabits is our diabetes management app that builds a personalized model of the user's unique blood glucose metabolism and physiology, using it to forecast future fluctuations before they occur.
Endobits is our physician platform that enables physicians to remotely monitor patients in real-time. By automatically triaging and identifying clinically relevant events, Endobits allows providers to focus on what matters the most.
In the news
September 22nd, 2020
Globe Newswire - Bio Conscious Technologies Inc. (“Bio Conscious”), a Prevention-as-a-Service™ technology company using machine learning to predict and prevent complications from chronic diseases, is announcing that its latest study assessing the capabilities of its Diabits app, has just been published in the JMIR Academic Journal.
September 22, 2020
Health Tech Insider - Shelter-in-place orders have created their share of problems for everyone, but in some cases, response to the COVID-19 pandemic has had a positive effect. According to an analysis of recent data from Diabits, a diabetes management app, staying home last spring may have had a positive impact on the lives of diabetes patients.