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We are now working on QTGuard. An AI driven, device offering safety, convenience and reassurance to patients* on QT prolonging therapy. (*and their doctors). For under $100.
Our core research and the COVID pandemic led to a new project (in course): AI driven, simple, hand held, automatic QT interval measuring device. It is sterilizable, reusable and fully autonomous, not requiring any external input. All analytics on users smart phone. No training required. In addition to use with hydroxychloroquine and azithromycin, the device can screen and monitor patients on over 200 other drugs with the potential for life-threatening arrhythmias due to QT interval prolongation. Other applications include use in new drug studies, because QT monitoring is now required in all such studies. We are now seeking investors for this new project.
REMmedy: Fast Facts
REMmedy is an AI-driven platform allowing users to reproduce desired health conditions using nothing more than a chewing-gum-sized scented REMstick: Normal sleep in situations likely to produce insomnia, reduced opiate use in Post Surgical Pain Management and reduced anxiety in anxiety-inducing situations. Conceived by an MD (with 30 years of clinical experience) inspired by leading Machine Learning experts.
The Biggest Problem Hiding In Plain Sight
Virtually every one of us suffers from Situational Insomnia at one time or another.
Ineffective Solutions
There are multiple solutions and attempts to deal with general insomnia, but not with Situational Insomnia. That’s a serious problem. Many try to deal with it by relying on pills and alcohol.
These “solutions” -- and no, you can't really call them that -- present quick fixes with detrimental short-term and long-term consequences on the health and wellbeing of the individual and the companies these individuals work for (productivity decreases and attrition rates increase).
The REAL Solution You Need
REMmedy solves these problems by offering an AI-driven platform that allows users to:
Reproduce normal sleep pattern in situations likely to produce insomnia
Reduce the use of opiates in Post Surgical Pain Management
Reduce Anxiety in anxiety-inducing situations
Additionally:
How It Works
Using Recurrent Deep Learning Neural Networks REMmedy developed a protocol to accurately and consistently detect the passage from the Awake to Asleep State.
Why It Works
The electronic system is NOT needed after the initial conditioning period.
When the Conditioned User (with prior history of hotel insomnia) travels for business, they only need to take a “pack of gum” with them.
Each “stick of gum” is, in reality, a scent-releasing stick. After getting into bed, the user opens a stick and adheres the adhesive side to the pillow. The scent now induces a reflex, normal falling asleep (Conditioned Involuntary Reflex).
The same principle will be used in managing post surgical pain, situational anxiety and other conditions.
Product Development
Traction & Accomplishments
So far we attended three conferences to measure corporate interest in our product and one official presence at an international AI conferences. We had discussions with C-level and director level executives at several Fortune 500 companies with demonstrated significant interest from:
In a formal sleep lab test of REMmedy AI vs the gold standard in sleep detection - a brain activity monitoring EEG - REMmedy's AI correlated very well with EEG sleep detection.
Conclusion: REMmedy system accurately detects the moment of falling asleep, using only a standard Polar H10 sensor.
Finalist at Major Global AI Conferences
REMmedy has been a startup contest finalist at a major Global AI conference. Top five out of over 100 entries.
This includes World Summit AI 19 in Amsterdam in October 2019.
We were judged by some of the most important companies in the world, including IBM, Oracle, NVIDIA and Accenture.
Meet “The Vision”
Mark Lazarovich, MD. MSc.
CEO | “The Vision” behind the REMmedy project
Meet The Team
Stephen Yanow
Chairman
Dr. Mark Bouton
Scientific Advisor
Richard Kampel
Financials and Analytics Advisor
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