50,000+ scientific studies proving we can discover what improves health and happiness through data analysis.
This research shows why we need to accelerate clinical discovery and end preventable suffering.
By contributing to the success of QuantiModo, you'll enjoy ongoing royalties in proportion to your contributions.
Apple Health, Fitbit, and other platforms can integrate with QuantiModo to provide users with deeper insights from their health data through our analytics engine.
Discover what improves YOUR health through personal analytics. Get real-time insights to optimize your diet, sleep, exercise, and supplements based on your own data.
Health startups can use our platform to reduce development costs by 80%. Focus on your unique value proposition instead of rebuilding data aggregation, analytics, and visualization features.
Disease advocacy organizations can run studies for specific conditions using our platform. Engage members in meaningful research instead of traditional charity walks.
Reduce healthcare costs through preventive insights discovered from population health data. Countries using shared open-source infrastructure can reduce development costs significantly.
Wait decades for the current system to maybe find cures
Help us automate clinical research and accelerate discovery
from chronic diseases like depression, fibromyalgia, Crohn's disease, and multiple sclerosis. There are over 7000 diseases that we still don't have cures for.
There could be billions of cures we don't even know about yet!
Of the 166 billion potential medicinal molecules, we've only tested 0.00001%. That means we've barely scratched the surface of potential treatments.
The cost savings from automating clinical research could save $360 billion annually in healthcare costs through preventative care discoveries.
Seamlessly import from EHRs
Connect to fitness and health tracking apps
Automatically import lab test results
Real-time data from wearables
Once we've collected enough data, the fun part begins! We use advanced algorithms to analyze all this data and discover hidden patterns.
Get personalized insights about what factors most influence YOUR health.
One example of causal inference involves applying forward and reverse lagging of the depression and exercise data. The result suggests a causal relationship based on the temporal precedence of physical activity.
Understanding how long effects last after treatment or exposure
through automated:
If you're one of the inadequately treated 2 billion chronically ill and nothing else has worked for you, it should find you the most promising new treatment available.
If you want to participate, it should automatically enroll you and get the treatment shipped to you or whatever.
The FDAi should automatically schedule all the tests and collect all the data to determine the safety and efficacy of the treatment.
The FDAi should then analyze and anonymize the data and publish the results for everyone.
By aggregating data from millions of people, we can discover insights that would be impossible in traditional small-scale clinical trials.
Just like nutrition labels help you make informed decisions about food, outcome labels show you the likely effects of medications and treatments based on real-world data.
Everyone should have the power to contribute to medical research. By participating in data collection and analysis, you're not just helping yourself—you're helping advance medical science for everyone.
Traditional clinical trials are limited by geography, cost, and time. By leveraging digital health data from around the world, we can conduct studies at unprecedented scale.
We need policy changes to make this vision a reality. The FDAi Act would create a framework for safe, privacy-preserving medical research at scale.
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